TW201131142A - Method and apparatus for evaluating an attribute of a point of interest - Google Patents

Abstract

A method of evaluating an attribute of a point of interest (150) comprises associating a region (152) with the point of interest (150); and evaluating (148) the attribute according to a comparison of position data (154, 156, 158) of a plurality of users with position data defining the associated region (152).

Description

201131142, i. Description of the Invention: [Technical Field of the Invention] The present invention relates to a method for estimating the attribute of a point of interest, and is detailed (but not exclusively), based on a navigation system such as a satellite navigation system A method of estimating the attributes of a point of interest by using the location data of the user. [Prior Art] Portable computing devices including GPS (Global Positioning System) signal receiving and processing functions (such as 'portable navigation device (PND)) are well known and widely used as navigation in vehicles or other vehicles. system. In general, modern PNDs include a processor, memory (at least one of volatility and non-volatile, and usually both) and map data stored in the memory. The processor cooperates with the memory to provide an execution environment in which a software operating system can be established and, in addition, one or more additional software programs are often provided to: enable the functionality of the PND to be controlled, and provide various other Features. Devices of this type will also often include: one or more physical connector interfaces through which power and conditional data signals can be transmitted to and received from the device and optionally Data signals; and, as appropriate, one or more wireless transmitters/receivers, which allow for telecommunications and other signal and data networks (eg, Bluetooth (Bluet00th),

Communication over Wi-Fi, Wi-Max, GSM, UMTS and the like. The PND also typically includes a GPS antenna with which satellite broadcast signals including poor position information can be received and subsequently processed to determine the current position of the device.

146562.doc 201131142 The PND is able to determine the route between the first location (eg, ', 如 4 location, location) (eg, destination). /, one used to Ml# This temple location can be used by the user of the device to hunt a wide variety of different methods ΐΛ丄 4 4 wood W into 'for example, straw by postal code, street name and house number. Or in the ^ ^ Flight test location can be used for previous storage, such as shops, restaurants, theaters, travel destinations, schools, tour two scenes 1, stadiums or swimming pools. These locations may be referred to as concerns. The information relating to this point (including its location and other genres) is included in the stored map data. Digital map data is used in a variety of applications πχτ applications and is used by a variety of devices (not just ND). For example, t' wide range of eMule applications or the Internet, .. 祠 站点 site in the location map display. e T times in the search process or other processes using map data. The inclusion of information indicating the location of the point of interest can be used for a wide range of applications and can add value to the map material. However, in any given zone, there may be a large number of possible concerns that differ in type and weight I σ to be variable, qualitative or interesting. In known systems for generating and maintaining map data, in addition to being storable; the location of the main point can also store additional attributes of the point of interest. These attributes of the point of interest can be determined by various well-known techniques, including: heart check or estimation of the point of interest, attention to aviation measurements at the point of view, monitoring of attention, and personnel at the point of interest. Pq ,. $ is set to ask, obtain information from the website associated with the point of interest, and investigate the opinions of visitors who are interested in + h. Examples of such attributes may be popularity or visitor satisfaction, or open and/or close time' or busy and/or free time. 146562.doc 201131142 ..., and, using these techniques to determine the popularity of the point of interest or to investigate the visitor's opinion of the point of interest or to determine other attributes of the point of interest t is often time consuming and costly to be particularly relevant to the visitor's point of interest When the number increases. Repeatedly monitoring these attributes over a period of time can also increase the time and cost involved, and monitoring such attributes of more than one focus can increase the difficulty. SUMMARY OF THE INVENTION According to a first aspect of the present invention, a method for estimating an attribute of a point of interest is provided, comprising: associating an area with the point of interest; and determining location data and definitions of the plurality of users A comparison of the location data of the relevant region to estimate the attribute. A large amount of user location data can be obtained from existing navigation systems, mobile phone systems, or other systems that can determine the location of the user device. An efficient automated procedure for determining an attribute of a point of interest can be provided by estimating the attribute of a point of interest using, for example, the location data. The point of interest may be the location that the user can go to, and may, for example, be the location where the user can obtain or purchase goods and/or services. Examples of points of interest include, for example, one or more of a store, restaurant, theater, destination, school, resort, tooth, point, stadium, or swimming pool. 0 POI attributes may be characteristics of a POI or associated with a POI, It can be determined based on user location data that changes over time. The POIs may also be classified according to different categories depending on the nature of the goods and/or services provided at the POI. The user can be a user whose location data has been measured and/or stored in the database.

[S 146562.doc 201131142 The relevant area can have any shape or size. The relevant area may contain a zone or zone surrounding the point of interest. For example, the associated area can include a substantially circular area centered at the point of interest. The relevant area may include an area or zone adjacent to the point of interest. The relevant area may include at least a portion of a feature associated with the point of interest or adjacent to the point of interest, such as a parking lot, road, approach, lane, or the like. The relevant area may be defined by the boundaries of land, land and/or real estate associated with the point of interest or the like. The relevant area may be defined by a boundary feature (such as a barrier, a wall, or the like) associated with the point of interest. The relevant area can change over time. The relevant area may depend on the nature of the goods and/or services provided at the point of interest. For example, the shape and/or size of the relevant area may depend on the nature of the goods and/or services provided at the point of interest. The shape and/or size of the associated area may depend on the shape and/or size of the area associated with other points of interest. For example, the shape and/or size of the area to be visualized may depend on the shape and/or size of the area associated with an adjacent or adjacent point of interest. The shape and/or size of the relevant area may depend on the proximity of a neighboring or adjacent point of interest. The location data defining the relevant region may contain information representing a plurality of locations (e.g., a plurality of locations associated with the location of the ', off/main point, or off/main point'). The location data defining the relevant region can contain functions or algorithms or algorithms generated according to the 146562.doc 201131142 % function or algorithm. The location data defining the relevant region may represent a boundary or boundary feature of the relevant region or be associated with a boundary or boundary feature of the relevant region. The method can estimate the attribute according to the change of the time according to the location data of each of the plurality of users. The method can include determining: t the number of users entering the relevant area. The method can include s. If a user enters the relevant area, the user is identified as going to the point of interest. The method can include an example of determining the number of users entering the relevant area, and the method can include determining the ratio of the number of users entering the relevant area to the total number of users. The total number of users whose location data has been measured and/or stored in the database may change over time (e.g., as a result of a change in the total number of owners of the portable navigation device or the like). However, the number of users entering the relevant area may be determined by the number of users who have been measured by the location data and/or stored in the database. Thus, the ratio of the number of users entering the relevant area to the total number of users entering the relevant area may be a more meaningful measure of the degree of popularity of the point of interest. The method allows the user to automatically collect the attention of the user's position data measured by the navigation system in the afternoon. Focus on the $rhut-^.-,., and do not need to use other means (such as by manual inspection or monitoring) Focus on the visitor, collecting visitor statistics by conducting aerial measurements of the points of interest and/or by investigating visitor comments or the like. The method can include determining the speed of the user within the relevant area. The method may include comparing the speed of the user in the relevant area with a threshold 146562.doc 201131142 speed' and identifying the user as the point of interest only if the user's speed in the relevant area is less than the threshold speed. The beta method can include determining the length of time the user spends in the relevant area. For example, the method can include determining the length of time the user spends in the relevant area based on the number of consecutive times when the user is in the relevant area and the time interval between consecutive times. The D-square can include comparing the length of time spent by the user in the relevant area with the time limit of 500, and identifying the maker as the time only when the user spends less time in the relevant area than the threshold period. This concern. The attribute >f士·—Γ A· a extension leaf may include the determined speed of the user in the relevant zone 1 or according to the determined number of users in the relevant area and the user's fee in the relevant area At least one of the lengths of time is used to estimate the attribute. ^. Including the number of users determining that they are simultaneously in the relevant area: The method may include determining the number of users in the relevant area at different times in a day, week, month, year or year.言玄04.-° contains the number of users who determine the point of interest in a period of time. It can include determining one minute, one minute, one hour, one day, one week, one user, one season, one year or Estimates of visitor statistics over a period of time over the years, allowing for changes in visitor statistics for visitor behavior: identification of visitor trends for visitor behavior or changes in the visitor group for concerns or other aspects of concern 146562.doc 201131142 阙Respond. Each of the different times is at an opening time of the main point and/or the delta method may include breaking the time based on the number of users in the plurality of areas. For example, the method may include identifying the open time as the first time when the number of users in the relevant area is less than a predetermined threshold number and the use in the relevant area is less than a The number of people is greater than the time between the second and second time of the predetermined threshold. Similarly, the method may include identifying the closing time as when the number of users in the relevant area is greater than the predetermined number of thresholds and the number of users in the relevant area is less than the predetermined number The time between the second later time. The β-hai method may include determining an opening time and/or a closing time of the point of interest based on a respective number of users who close the principal point in each of the plurality of different time periods ” ~ For example, the method may include Recognizing the open time as the second time period in which the number of users of the point of interest is less than a predetermined threshold number and the number of users of the detour/main point is greater than the predetermined number of thresholds Time between. Similarly, the method can include identifying the closing time as a second later time period in which the number of users of the point of interest is greater than a predetermined number of first time periods and the number of users of the point of interest is less than the predetermined number Between the time. The method can include shutting down according to each of a plurality of different time periods

146562.doc 201131142 The number of users of the point to determine the open time period of the point of interest and / or the closing time period. The method can include determining whether the point of interest is open or closed to the visitor on that day based on the number of users who follow the point of interest in a day. For example, the method can include identifying the open day of the point of interest as the number of users of the point of interest being greater than a predetermined number of days. Similarly, the method can include identifying the closing date of the point of interest as the number of users of the point of interest being less than a predetermined number of days. The Hai method may include determining the point of interest to be open or closed to the visitor on a particular day of the week based on the number of users who are going to pay attention to each of the plurality of such workdays. The method can include determining a busy time and/or an idle time of the point of interest based on the number of users in the relevant area at each of the plurality of different times. . The method of "long time / =" may include the time when the busy material is identified as the maximum number of users in the relevant area. Using this method can include identifying the idle time as the time when a minimum number of users are in the relevant area. The method may include the number of users or the idle time period according to the number of users who go to the home of the 66 fields A A T and the master d at a plurality of different times. The busy time period of the left point and/or, for example, the method may include a time period when busy users are concerned about the point. Similarly, the maximum number is similarly, the method can include identifying the two inter-event segments as the minimum number of time periods. 146562.doc 201131142 The time period when the user goes to focus. The method can include assigning to the point of interest based on the item and/or service provided at the point of interest. For example, the method can include assigning - or a plurality of categories from the __ category list to a point of interest, including but not limited to retail, commercial, industrial, residential, roadside, hospitality, entertainment, Leisure, public, tourist attractions and the like. For example, the method can include assigning a retail category to a point of interest when the point of interest includes a retail point, a supermarket, a shopping mall, a retail business district, a retail store 'retail store, or the like. For example, the method can include assigning a business category to a point of interest when the point of interest includes a bank, a commercial physical office, or the like. For example, the method can include: when the point of interest includes providing roadside services: set = ',: petrol station, petrol station, roadside cafe, roadside: . When it comes to the /hotel or the like, it is sent to the point of attention. The method may include: when the point of interest includes a restaurant, coffee attention, pub, hotel, or the like, assign the hospitality category to, for example, 1{1 Property, Manufacturing:': : Include ·· When the focus includes industrial parks, workers assigned to concerns. For example, in the case of a barrier, a layer library, or the like, the industrial category, for example, continuation, 1. ^ ° / can be included. When the point of interest includes a residential site, for example, when the residential category is assigned to focus point. Can include: when the point of interest contains a movie theater, drama 146562.doc s] 201131142 When assigning an entertainment category to a home of interest, concert venue, or the like, point 0 For example, the method can include a club, a stadium, a swimming pool category Assign to a point of interest. When the point of interest includes a leisure center, a body park or the like, the leisure will be::t, the method may include: when the point of interest includes the police station 1 22, university, college, court, administrative service facilities, local service spear i will be assigned to the public service category by point. For example, the method can include assigning a tourist attraction category to a point of interest when the point of interest includes an exhibition center, a museum, a resort, a landmark, a more meaningful venue, or at its own expense, or the like. The method can include estimating a quality parameter of the point of interest based on the number of users of the point of interest. The method can include estimating a quality parameter of the point of interest based on the use of each of the plurality of users: the speed within the relevant region. For example, the method 5 can estimate the quality parameter of the point of interest based on the average speed of the user in the relevant area. The party W includes (four) each of the plurality of users - the length of time spent by the user of the user in the relevant area to estimate the quality parameter of the point of interest + example, and the method can be included according to the user in the relevant area The average length of time spent within the estimate is used to estimate the quality parameters of the point of interest. The quality parameter can indicate the popularity of the point of interest or quantify the interests of a plurality of users at the point of interest. The party may include the speed of each user entering the relevant area according to the number of users entering the relevant area, and the speed of each user entering the relevant area and the cost of each user entering the relevant area in the relevant area. At least one of the lengths of time to estimate the quality parameter of the point of interest. The method can include each of the number of users entering the relevant area during a time period, the speed of each user entering the relevant area during the time period in the relevant area, and each entering the relevant area during the time period. The quality parameter of the point of interest for the time period is estimated by at least one of the length of time the user spends in the relevant area. The method can include estimating the quality parameter of the point of interest based on at least one of the number of users entering the relevant area, the average speed of the user in the relevant area $, and the average length of time the user spends in the relevant area $. The method can include estimating quality parameters for different times.

Don't be the quality parameter in the quality parameter value for different time periods. According to the focus, the opening time and/or closing time of the focus is determined by each of a plurality of different times. The quality parameter 5 method may include identifying the open time as the quality parameter first time and the quality parameter value are greater than the predetermined value time and the quality parameter value is less than the predetermined value, and the note point is determined in each of the plurality of different time periods. The opening time of the point of interest and / or off 146562.doc 201131142 Value:::: can: include the recognition of the open time as the quality parameter similarly, the method can contain greater than _ identified as ^f parameter value x pre-value The first time period ^ ^ ^ ^ μ „ again, the value of the enamel parameter is less than the time between the predetermined time value and the time period after the cypress. The method may include determining the door of the focus according to the value of the complex quality parameter. : The interval between the opening and the closing time of the π point in the mother-in-person method may include opening or closing the visitor according to the -day parameter. The quality parameter is used to determine the point of interest. Including identifying the open day of the point of interest as the value of the parameter f for the day is greater than - a predetermined number of days. Similarly, the method can include identifying the closing date of the point of interest as the value of the quality parameter for the day And - a predetermined number of days. The method can include determining a particular opening or closing of the point of interest during the week based on the value of the quality parameter estimated for each of the plurality of such daydays. The starting point of the point of interest + opening time or opening time and/or closing time or closing time period is determined according to the value of the product for different time or different time periods. The method may include the quality parameter according to the interval of the needle material at the same time. The value comes to the busy green time period and/or the idle time period of the main point. For example, the method may include identifying the busy time period as the time corresponding to the maximum quality parameter value of 146562.doc -14·201131142 Similarly, the 'financial law may include a time period for the (4) quality parameter value. The slave may correspond to the minimum. The method may include storing one or a category of the focus in the database (such as a number f value and/or One or more maps or the like), drawing a database or electronically, the method may include storing the data values and/or - or multiple categories associated with the data: points - or multiple genera, Location data of the left point The method may include displaying a plurality of categories in the attention. For example, the method may determine the value of the J. and/or one or not to make a decision on the point of interest. The quantity information pair is one or more categories including one or more attribute points of the display focus point, including one or more of the focus points or multi-symbol discs/or points of interest in response to the user request. Category. The method can include associating the tiger with the category of the focus. The ::: method can include displaying a symbol associated with the category of the point of interest. The bite can be included adjacent to the representation at the point of interest. The symbol of the nature of the goods and / services shows the attribute value of the point of interest. & can include 3 to estimate one or more attributes of each of the plurality of points of interest" ° Hai Fang can be included in the plural Each of the concerns is provided by 146562.doc S1 -15. 201131142 The nature of the goods and/or services assigns one or the guest to each of the points of interest. The plurality of points of interest may include points of interest within a predefined geographic area (such as a town 'urban' suburb, an administrative district, a postal district 'city, a region, or the like). <<< The method may include storing one or more attribute values and/or - or multiple categories of each of the plurality of points of interest in a database (such as a digital mapping database or an electronic map) Or the like). The method can include associating one or more attribute values and/or one or more categories of each of the plurality of points of interest stored in the database with location data for each of the points of interest in the database . The method can include displaying one or more of the plurality of attribute points and/or one or more categories of the plurality of points of interest. The method can include associating a symbol with one of a plurality of points of interest. The method can include displaying a symbol associated with a category of each of the plurality of points of interest. The method can include determining a level of one of the plurality of points of interest based on a quality parameter value for each of the points of interest in the plurality of points of interest. The method can include determining a level of the point of interest based on a quality parameter value of the point of interest and a quality parameter value of one or more additional points of interest, the one or more additional points of interest being provided with the point of interest provided at the point of interest Goods and/or services of the same or similar goods and/or services are located in the same geographical area as 146562.doc -16 - 201131142. The level of the off/primary point may indicate the degree of popularity of the point of interest relative to other points in the same category. The level of the point of interest may indicate that the point of interest is in the same predefined geographic area as in the same category ( The popularity of other concerns within a town, city, suburb, administrative district, postal district, city, region, or the like. The method may include storing the rank of the plurality of points of interest in the data. A library (such as a digital mapping database or an electronic map or the like). The method can include associating a level of a point of interest stored in the database with a location data of a point of interest in the database. Contains the level at which the point of interest is displayed. Displaying the level of the point of interest provides the user with information about the degree of popularity of the point of interest relative to other points of interest in the same category. For example, the level of the point of interest can be used. Providing a geographic area that is also in the same predefined category as the point of interest (eg, town, city, district, administrative district, postal district) Information about the popularity of other concerns within a city, region, or the like. Displaying this rating allows the user to make a decision on whether or not to focus on a quantitative comparison of information. The method may include: Additional points of interest are associated; and the attributes of the additional points of interest are estimated based on a comparison of the location data of the plurality of users with the location data defining the area associated with the additional gate/primary point. [s 146562.doc - 17- 201131142 § 玄 另外 additional points of interest may have the same category as the point of interest. S Hai's additional points of interest may be in the same predefined geographic area as the point of interest (such as 'town, urban, suburban, administrative, postal Within a zone, a city, a zone, or the like. The method can include determining to enter an area associated with the point of interest during the first time period and also entering the additional point of interest during the second time period The number of users in the area. The method can include entering a region of shame associated with the point of interest during the first time period and also during the second period Entering the number of users associated with the additional point of interest such that the additional point of interest is associated with the point of interest, the method may include entering an area associated with the point of interest during the first time period And the number of users who also enter the area associated with the additional point of interest during the second time period is stored in a database (such as a digital mapping database or an electronic map or the like).匕a may be associated with the number of users who are associated with the point of interest during the "" and also enter the area associated with the additional point of interest during the second time period. The position of the point money may include displaying the & field associated with the point of interest during the first time (four) eve W β ο time period and also entering the additional time between the second time period and the second time period Pay attention to the number of users in related areas. It is shown that during the first period of time, the area associated with the point of interest is also entered in the area associated with the point of interest in the first time period 146562.doc The user of 201131142 "Number 5J* allows the use of I to select in the same predefined geography 11 as the point of interest - the alternative point of interest, which provides goods and/or services similar to the point of interest. ^Method The method may include determining location data of the user. For example, the method may include determining location data of the user using absolute and/or relative position measurement techniques. 4 methods may include using, for example, a geographic positioning system (GPS) or Galileo (Gahle) The satellite navigation system of the system or the like measures the absolute data of the user. The method may include measuring the relative position data of the user by using dead reck〇ning or inertial navigation techniques. The instrument, accelerometer or the like measures the relative position data of the user. The second method may include measuring the relative material of the user relative to the drawn object. 'The objects have a known absolute position or relative to a common reference. For example, the method may include measuring relative relatives using one or more sensors such as a camera, Ray or Tanda or the like. The relative position data of the user of the object to be drawn. The square can include determining the location data defining the relevant area. For example 2, the method may include determining the location of the relevant area using absolute and/or relative position measurement techniques. The data/method may include the use of a satellite navigation system such as a geolocation system (GPS) or a Galileo system to determine the location of the relevant region. 0 146562.doc 201131142 The δ method may include the relative position data of the region. The definition of summer reference includes the use of a gyroscope, an accelerometer or the like to measure the relative position data of the Q-related Q-domain. The field contains the definition of the measured object relative to the drawn object. The objects have a known absolute position or relative to the camera...two known positions. For example, the method may include the use of measurements such as relative to 11 or radar or Similar to - or a number of sensors, ; the object of the drawing defines the relative position data of the relevant area. "Haifang can include storing the location data defining the relevant area in the data: (such as 'digital map drawing The 〇/= method in the database or electronic map or its class may include associating the location data in the database that defines the relevant region with the location data of the point of interest in the library. The hai method may include displaying the relevant region. In accordance with an additional aspect of the present invention, a navigation device is provided that is configured to receive a value indicative of a point of interest determined using the method. 0. According to another aspect of the present invention, a A device for carrying out the method. According to another independent aspect of the present invention, there is provided an apparatus for estimating an attribute of a point of interest, the apparatus comprising: - a data storage for storing location data of a plurality of users; and - processing resources It is adapted by J46562.doc -20- 201131142 to associate an area with the point of interest and to estimate the attribute based on a comparison of the location data of the plurality of users with the location data defining the relevant area. The plurality of users may include a number of users whose location data has been stored in the data store. The apparatus can be configured to estimate an attribute based on changes in location data of a user of each of a plurality of users over time. The skirt can be configured to determine the number of users entering the (four) zone. The device can be configured to determine the speed of the user within the relevant area. The device can be configured to determine the length of time the user spends in the relevant area. The recorded position can be configured according to the number of use tests of the ten-to-mouth port, the speed of each user entering the relevant area in the relevant area and the entry into the relevant area: each user of the domain is in the relevant area. At least one of the length of time spent in estimating the quality parameter of the point of interest. The helium device can be configured to estimate quality parameters for different time periods. The second set can be configured to determine the open time or open time period of the point of interest and/or the closing time or the closing time period according to the product for different time or different time periods. The device can be configured to “have a lot of quality parameter values for different time periods” for the busy time period and/or idle time period of the main point. The apparatus can be configured to determine the level of the point of interest based on the mouth parameter value of the parent/soil point and the quality parameter value of one or more additional points of interest, the additional focus provided The goods and/or services that are the same or similar to the goods provided at the point of interest and / I46562.doc [s] -21 201131142 and located in the same geographical area as the point of interest. The device can be configured to display attribute values for the point of interest. The device can be configured to display the attribute value of the point of interest in response to a user request. The device can be configured to display the attribute value of the point of interest adjacent to a symbol representing the nature of the item and/or service provided at the point of interest. According to another aspect of the present invention, a database is provided, #includes a location data of a point of interest and an attribute value associated with the point of interest, wherein the attribute value is related to the point of interest by causing the area to be related to the point of interest The location data of a plurality of users is compared with the location data defining the relevant area to estimate. An additional independent aspect of the present invention provides a navigation system including an estimate for comparing a location data of each of a plurality of users with a definition of a region associated with a point of interest. A device that attributes one of the concerns. For example, the navigation system can include a satellite navigation system such as, for example, a Geographic Positioning System (GPS) or Galileo or the like. The navigation system can include a navigation device such as a portable navigation device (pND) or the like. The navigation system may include a vehicle guide (four) or the like. The navigation system can include hardware configured for extrapolation or inertial navigation. By way of example, the navigation system can include a gyroscope, an accelerometer, or the like. The navigation system can include hardware for measuring relative position data of the user relative to the object being drawn. For example, the system can include 146562.doc -22- 201131142 as a camera

One or more sensing electronic maps The navigation system may include a database such as a digital mapping database or the like.

Any of the product features may be adapted to the device, and the features may be applied to any one or more of the device, system, method, or computer program in a device, system, method, or computer program product feature in any suitable combination. [Embodiment] The present invention will be further described by way of non-limiting example only by way of non-limiting example. FIG. 1 is a schematic illustration of a map drawing and/or navigation system. The system includes a server 8 operative to communicate with a plurality of position determining devices 4a through 4e (in this case, portable navigation devices). For the sake of clarity, only five navigation devices 4a through 4e are shown, but it should be understood that thousands of or more navigation devices may be in communication with the server 8 in practice. Although the devices 4a through 4e shown in FIG. 1 are portable navigation devices, they can be any type of device capable of determining its own position and providing location data to the feeder 8, for example, any type A device with GpS capabilities, including a mobile phone, PDA or personal computer. The feeding benefit 8 comprises a treatment benefit 12, a memory 14, a transmitter 20 and a receiver 22. In operation, processor 12 is operative to execute processing software. The processing software includes a location data processing module 146562.doc for processing user location data (e.g., user location data received from devices 4a through 4e). 23- 201131142 Group 11 and a point of interest (ρ〇ι) data processing module 13. The server 8 is linked to a data storage 18 that stores map data and also stores the material. In the normal connection of the navigation devices 4a to 4e, a record is recorded on a device (for example, for a known 糸m - 3, mother 5 seconds) from navigation

G P S Yin, the tribute to the cry, also s C. The pirated device is included in the data recording device module of the portable navigation device itself. · Although the user connects the navigation device in the connection station for charging or updating, each connection via the Internet will be- Navigation GPS data transmission (four) server 8. The user may be requested to grant permission to transmit the GPS to the vessel. 1 It has been found that most users permit (iv) this transmission of data. In a variant of the described embodiment, the data is transmitted directly from the navigation device 4d4e using a wireless connection. In each case, the GPS data is processed anonymously and cannot be traced back to the special. The server 8 stores all the G p s data and latitude/longitude positioning information collected over time in the large-capacity data storage (4). It should be understood that ^ a large amount of Gps data from a large number of users is accumulated, and the information indicating the progress of travel on every possible road in a region or network is obtained over time. The GPS data not only provides user location information, but also If necessary, it can be analyzed to provide speed or other trajectory data or operation data for each navigation device. The large-capacity data storage 18 also stores map data, which can, for example, include a digital map of a road network, which is used. The node and the connection structure (road segment) describe the topology of the road network as a mathematical graph. 146562.doc -24· 201131142 In the embodiment of Fig. 1, the map data also includes information related to the point of interest. In detail, the location data processing module and the data processing module are operable to: process location data obtained from navigation or other devices to estimate attributes of the point of interest' and perform additional operations based on values of such attributes. It should be understood that although the server 8 in the embodiment of FIG. 1 is operable to collect location data from many different users, this location data may be substituted. Or additionally provided by a third party for processing by the server 8. The processing of the location data, the estimation of the attributes of the point of interest, and the execution of the values based on the attributes of the attributes are described in more detail below. The characteristics of the communication between the server 8, the navigation device 4, and the navigation device 4 and the server 8 are described in more detail by way of example with reference to Figure 2. The navigation device 4 has or is coupled to a Gps receiver device 6 The navigation device 4 is capable of establishing data with the "Internet of the mobile or telecommunication network" via a mobile device (not shown) (for example, a mobile phone, a PDA, and/or any device having a mobile phone technology) as necessary. Sessions to establish digital connections, for example, digital connections via known Bluetooth technology. Thereafter, the mobile device can establish a network connection with the server 8 via its network service provider (e.g., via the Internet). Thus, establishing an "action" between the navigation device 4 (when it travels on its own and/or in a manner in the vehicle, which can be and often acts) and the server 8 Road connection to provide "real-time" information is owned or at least very "new" gateway. The establishment of a network connection between the mobile device (via the service provider) and another device, such as server 8, can be performed in a known manner using, for example, the Internet. In this regard, any number of suitable but W-Mat communication protocols can be used.

[S 146562.doc -25- 201131142, for example, TCP/IP layered agreement. In addition, the mobile device can utilize any number of communication standards such as 'CDMA2000, GSM, IEEE 802.1 1 a/b/c/g/n, and the like. Thus, it can be seen that the internet connection that can be achieved, for example, via a data connection, via a mobile phone 5 or a mobile phone technology within the navigational component 4 can be utilized. Although not shown, the navigation device 4 can of course include its own mobile phone technology (e.g., including an antenna) within the navigation device 4 itself. The mobile phone technology within the navigation device 4 may include internal components and/or may include an add-in card (eg, a Subscriber Identity Module (SIM) card) that is equipped with, for example, the necessary mobile phone technology and / or antenna. Thus, the mobile phone technology within the navigation device 4 can similarly establish a network connection between the navigation device 4 and the server 8 via, for example, the Internet, in a manner similar to that of any of the mobile devices. For phone settings, a Bluetooth-enabled navigation device can be used to work correctly with the ever-changing spectrum of the mobile phone model 'manufacturer, etc., model/manufacturer specific settings can be stored on, for example, the navigation device 4, up to update Information stored for this information. In Figure 1, navigation device 4 is depicted as being in communication with servo 8 via a general communication channel 1 , which may be implemented by any of a number of different configurations. The communication channel 10 generally indicates the communication medium or path pinch connecting the navigation device 4 and the server 8. When the connection between the server 8 and the navigation device 4 via the communication channel 10 is established (note that this connection can be a data connection via a mobile device), a direct connection via a personal computer via the Internet 146562.doc -26- 201131142, etc.] The feeding device 8 can communicate with the navigation device 4. The overnight channel 10 is not limited to a particular communication technology. In addition, the communication channel 1 is not limited to the early 1st technology; that is, the 'communication channel' includes several communication links using various technologies. For example, the communication channel ι can be adapted to provide a path for electrical, optical, and/or electromagnetic communication, and the like. Because 2' communication channel 10 includes, but is not limited to, one of the following or a combination thereof, an electrical conductor such as a wire and a coaxial electron microscope, an optical fiber thinner, a converter radio frequency (RF) wave, an atmosphere, a free space Wait. In addition, communication channel 1 〇 may include intermediate S components such as routers, repeaters, buffers, transmitters, and receivers. In the illustrative configuration, communication channel 10 includes a telephone network and a computer network. Furthermore, communication channel 10 may be capable of being adapted for wireless communication, such as infrared communication, radio frequency communication (such as microwave frequency communication), and the like. In addition, the communication channel 10 is applicable to satellite communication. Communication signals transmitted via communication channel 10 include, but are not limited to, signals that may be needed or desired for a given communication technology. For example, the signals may be suitable for use in cellular communication technologies such as time division multiple access (tdma), frequency division multiple access (FDMA), code division multiple access (cdma), global mobile communication systems ( GSM), etc.). Both digital and analog signals can be transmitted via communication channel 1〇. Such signals may be modulated, encrypted and/or compressed signals that may be desirable for communication techniques. As mentioned above, the server 8 includes (in addition to other components not otherwise described) a processor 12 operatively coupled to the memory 14 and further operating via a wired or wireless connection. Sexually connected to - 146562.doc -27- 201131142 large capacity data storage device 18. The mass storage device 18 contains storage of navigation data and map information, and may also be a separate device from the server 8, or may be incorporated into the server 8. Processor 12 is further operatively coupled to transmitter 20 and receiver 22 for transmitting information to navigation device 4 via communication channel 1 and receiving information from navigation device 4. Signals transmitted and received may include data, communications, and/or other propagating signals. The transmitter 20 and the receiver 22 can be selected or designed in accordance with the communication requirements and communication techniques used in the communication design of the navigation system 2. Additionally, it should be noted that the functions of transmitter 20 and receiver 22 can be combined into a single transceiver. The navigation device 4 can be configured to use the transmitter 24 and the receiver 26 to transmit and receive signals and/or data via the communication channel 10 to communicate with the server 8 via the communication channel 1 注意 'Note' that the devices can be further Used to communicate with devices other than the server 8. In addition, the transmitter 24 and the receiver 26 are selected or designed in accordance with the communication requirements and communication techniques used in the communication design of the navigation device 4, and the functions of the transmitter 24 and the receiver 26 can be combined into a single transceiver. Of course, the navigation device 4 can also contain other hardware and/or functional components. The software stored in the server memory 14 provides instructions to the processor 12 and allows the word processor 8 to provide services to the navigation device 4. A service provided by the server 8 includes processing requests from the navigation device 4 and transmitting navigation data from the bulk data storage device 18 to the navigation device 4. Another service that may be provided by the server 8 includes the use of various algorithms for the desired application to process the navigation data and to communicate the results of such calculations to the navigation device 4. The server 8 can constitute a source of data that can be accessed by the navigation device 4 via the wireless channel. Server 8 may include a network server located on a local area network (LAN), a wide area network (WAN), a virtual private network (VPN), and the like. The server 8 may comprise a personal computer such as a desktop or laptop computer and the communication channel 10 may be a cable connected between the personal computer and the navigation device 4. Alternatively, a personal computer can be connected between the navigation device 4 and the feeder 8 to establish an internet connection between the feeder 8 and the navigation device 4. The information can be provided to the navigation device 4 via the information download. The information of the server 8, the information download can be automatically updated regularly, or after the user connects the navigation device 4 to the (4) H8 update 'and/or in the feeding device via the (for example) wireless mobile connection device and tcp/IP connection 8 After establishing a more continuous or frequent connection with the navigation device 4, it is updated in a more dynamic manner. For many dynamic calculations, the processing in the feed H8 (10) can be used to handle most of the processing needs of the 'however' navigation device 4 processor (Fig. 11? not shown) can also handle many processing independently from the connection to the server 8 from time to time. And calculations. The navigation device 4 further includes a pick-up device 28 and a display device 30 (e.g., a display screen). Although the singular form of the input device is referred to herein, those skilled in the art should understand that 'input device 28 indicates any number of inputs including keyboard device, voice input device, touch panel, and/or use information. Any other known input device. Also, the display device 3 is shown. Any type of display screen may be included, such as a liquid crystal display (LCD). The input device 38 and the display device 3g are integrated to provide an input and display device. The integrated input and display device includes a touch pad or touch screen input for information transmission via the panel display.

t S -29- 201131142 In (via direct input, menu selection, etc.) and information display, so that the user can select one of the multiple display options or start multiple virtual only by touching the part of the display screen. Or one of the "soft" buttons. As mentioned above, the processor 12 of the server 8 is operable to process the user location data to determine the attribute values of the POI. The attribute values can be stored in the data store 18 for subsequent access or processing. In an example, the processor is operable to determine an attribute value of p〇I in the vicinity of the user, or to take an attribute value from the data store 18 (if the attribute value has been determined first), and send the attribute value of ροι The navigation device 4 is displayed to the user via the display device 3A. Examples of attributes of POIs referred to herein include the number of users who go to p〇I, the speed of users near the POI, and the length of time spent by users near p〇I. Other attributes of the POI include quality parameters calculated from one or more of these attributes. Additional attributes of P〇I include open and close times as well as busy and idle time. 3 illustrates an initialization procedure for an embodiment of a method for determining an attribute value of p〇I associated with a time period τ. In this example, the location data processing module 11 and the POI data processing module 13 are used. Execution is performed using the location data & P0I data stored in the data storage 18. As shown in Figure 3, the method begins with the identification of ροι at step 102 and continues with the identification of the associated region (AR) associated with the POI at step 〇4. At step 1 〇 6, the method continues with the determination of the location data defining the AR. At step 108 of the method, the user index i is initialized to i and the time index j is initialized to zero. At step 11〇, the time ^10 is calculated as the product of the time index j and the sampling interval At. 146562.doc • 30· 201131142 Step 112 includes determining the location of the user at time t, for example, by looking up the location of user i at time t by storing in data repository 18 or other database of location data. Information to determine. At step n4, the position data of the position of the user i and the AR at time ί is compared to determine whether the user i is in the AR at time t. If the user is in the AR, the value of the Boolean array element v(j) of the user i at time t is set to TRUE at step 116, otherwise, the Boolean array is set at step 117. The value of the element v(i,j) is set to FALSE. If the user is equal to the total number N of users at step 120, the user index is reinitialized to 1 at step 122 and the number n of users who have gone to the POI is initialized to zero, otherwise at step 124. The user is incremented by one and steps 112 through 12 are repeated until the user index 丨 is found to be equal to the total number N of users at step 120. The method continues by incrementing the time index j by one at step 126 and recalculating the time t to the product of the time index j and the sampling interval Δί (as shown in Figure 4) at step 128. Step 13 includes determining the location of the user at time 1. At step 13 2, the position data of the user's position and ar at time t is compared ' to determine if the user i is in the AR at time t. If the user i is in the AR, the value of the Boolean array element v(i,j) at the time "Temple User" is set to TRUE at step 134, otherwise, the Boolean array element v is set at step 136. The value of (i, j) is set to false. If the value of the previous Boolean array element v(i, jl) is FALSE at step 138 and the current Boolean array element v(i, j) has the value TRUE, then the value is used. i has entered AR between time ί=ϋ_1) Δ^ί=μί, and increments the number η of users who go to Ι0Ι at step M0 - 〇

ί S 146562.doc • 31 · 201131142 If the user index i is equal to the total number N of users at step 142, then a check is performed at step 144 to determine if j=J, where j is the time interval in the time period The number of Ats (i.e., T = Mt), otherwise, the user index i is incremented by one at step 146, and steps 130 through 142 are repeated until the index i is found to be equal to the total number n of users at step 142. If j = J at step 144, the attribute value is the value n determined at step 148, otherwise, the time index 丨 is incremented by one at step 126, and steps 128 through 144 are repeated until the time is found at step 144. The bow j is equal to the number J of time intervals in the time period τ. 5 illustrates the method of FIGS. 3 and 4 for a POI 150 with an example of three different user traces (ie, N=3) having a related circular AR 152 centered on the POI 150. 'Each user trace indicates the position of the user 随 as a function of time t between t=〇 and tT: trace 154 of user i-1 displayed as a dotted line, user shown as a dotted line The trace 丨 56 of i=2 and the trace 158 of the user i=3 shown as a solid line. The radius of the circular AR 1 52 is selected such that the circumference of the AR 152 draws a boundary for the land or property associated with ροι ! 5〇 and associates the land or property associated with the POI 15 0 with one or more other POIs The land or property of (not shown) is stored in the mass storage database 丨8. Similarly, the location data defining the AR 152 is stored in the mass storage repository 18. Trace 154 corresponds to user 丨 = 移动 movement along road 16 6 , while trace 156 corresponds to user 丨 = 2 along the same road 16 〇 but in the opposite direction. Trace 15 8 corresponds to the movement of user i=3 along a different road, which may be the approach road to POI 150 or may be adjacent to POI 15〇146562.doc •32-201131142 or at Another road passing near POI 150. Trace of user i=1

154 and user 1=2 trace 156 do not enter AR 152° between t=0 and t=T. However, the trace 158 of 'user i=3 enters AR 152 between Bu and Bu 2^. And applying the methods of Figures 2 and 3 to traces 154, ι 56 and 158 of Figure 4, the number η of users entering AR 152 between t = 〇 and t = T is one, i.e., The number of users η between t=〇 and t=T to ροι 15〇 is —— 〇 should understand that although for the example of Figure 5, the number of users is 但 3 but k is έ, Ν is bigger than three Much more. In addition, although the movement of the user described with respect to the example of FIG. 5 corresponds to the movement of the user within a time period of about several minutes or hours, in general, the user can be tracked for days, weeks, and numbers. Movement during the month or even years. The number of users who have been deaf in a period of time indicates the degree of popularity of the period during the period. However, in general, the number of users who go to p〇I varies depending on the time (in particular) and the day of the week. Therefore, in order to determine the popularity of the POI, the number of users who go to the POI during one or more weeks is typically estimated by the server processor 12. Thus, in one embodiment, the server processor 12 calculates the quality parameter of ροι as the number of users who go to the POI during the one-week period. The quality parameter of p〇I is then transmitted to the navigation device 4 and can be displayed by the display device 30 in response to user input via the input device 28. For example, as shown in Figure 6, the quality parameter of the gasoline station P〇I can be displayed at a location 202 on the display device 30 adjacent to a gasoline pump symbol 2〇4 representing the position of p〇I. As shown in Figure 6, ρ〇ι can be in the same geographic area as the destination 2〇6 of the user. Alternatively, p(7) 146562.doc -33· 201131142 may itself be the destination of the user. The feeder processor 12 can also calculate an estimate of the number of users who go to ρ〇ι as a function of time. For example, Figure 7 shows the number of users who went to ρ〇ι in each of the 12-month periods calculated by the server processor. It is expected that this information may be useful to individual users. Mussel-K may be invaluable to the owner or operator of the POI. For example, this information may provide an indication to the owner or operator of (10) that customer behavior changes over time. This information may provide a change in the number of customers attracted to the POI over time. The change is due to the price of the goods and/or services offered at the POI at the goods and/or services (eg, at PC) I.

Changes in grid and / or quality). This information may also provide a change in the number of customers attracted to other POIs over time, thus allowing the owner or operator of a particular POI to monitor other tears that provide the same goods and/or services in the same geographical area. degree. It is also possible to calculate any change in the number of old customers who are attracted to the POI over time. This information can typically be accessed via a display (not shown) or other output device and/or output port (not shown) associated with server 8. Figure 8 shows the number of users who went to ρ〇ι during each hour of a particular day of the week averaged over a period of several weeks as calculated by the server processor 12. The Serving Processor 2 then infers the open time of the POI based on whether the number of users who went to p(7) in one hour is less than or equal to four and whether the number of users who went to the POI in the next hour is greater than four. For the example shown in Figure 8, the number of users who go to the POI in the 7th 146562.doc -34-201131142 hours between 〇6:〇〇 and 〇7:〇〇 is two, while in 〇7 The number of users who go to the POI in the eighth hour between 〇〇 and 〇8: 为 is five, indicating that the opening time of the day of the week mentioned is 7: 〇〇am. The server thief processor 12 then infers that the number of users who go to p〇j in the hour is greater than or greater than four and the number of users who go to p 〇1 in the next hour is less than four. The closing time of P〇I. For the example shown in Figure 8, the number of users who go to the POI in the 18th hour between 17:00:00 and 18:〇〇:〇〇 is 34, and at 18: 〇〇: 〇〇 The number of users who go to ροι in the 19th hour between 19:〇〇:0〇 is three, which indicates that the closing time of the day of the week mentioned is 6:00 pm. The opening and closing times of the POI on the relevant day of the week are then transmitted to the navigation device 4 and may be displayed by the display device 30 in response to user input via the input device 28. For example, as shown in Fig. 9, the opening and closing times of the petrol station P0] can be displayed on the display unit 30 adjacent to a position 302 of the petrol pump symbol 3〇4 indicating the position of the P〇I. As shown in FIG. 9, the POI can be in the same geographic area as the user's destination 306. Alternatively, P0I itself may be the destination of the user. While displaying the number of users who go to the POI during a time period can provide the user with useful information about the popularity of the POI to allow the user to provide the same or similar goods and/or services in the same geographic area. Pick between 〇I, but additional information may be required. The server processor 12 is operative to calculate quality parameters for each P0I that provide the same or similar goods and/or services in the same geographic area and to rank the PII based on the quality parameters. The level of P0I is then transmitted to the navigation device 4, and

ί S 146562.doc -35- 201131142 may be displayed by display device 30 in response to user input via input device 28. For example, as shown in FIG. 10, the quality and rating of the gasoline station POI may be displayed by display device 30 at a location 402 on display unit 30 adjacent to a gasoline pump symbol 404 indicative of the location of the POI. As shown in FIG. 10, the POI may be in the same geographic area as the destination 406 of the user. Alternatively, the POI itself can be the destination of the user. It is understood that the embodiments described herein are illustrative only and that various modifications may be made without departing from the scope of the invention. For example, the AR can be defined to have any suitable shape and size. The shape and size of the AR may be selected depending on the nature of the POI and/or any land or property associated with the POI, and various alternative AR definitions are possible.

For example, Figure 11(a) illustrates a trace 506 surrounding the AR 502 of the POI 504 and showing the user of the POI 504. The POI 504 can be, for example, a park or the like, and the AR 502 can be defined to coincide with the actual perimeter of the park, such as a border fence or the like. Figure 11 (b) illustrates a trace 606 of a user adjacent to the AR 602 of the POI 604 and showing the de-POI 604. The POI 604 can, for example, be a retail location such as a petrol station or supermarket, and the AR 602 can be defined to coincide with the perimeter of the front yard associated with the gasoline station or the parking lot associated with the supermarket. Figure 10(c) illustrates the AR 702 associated with the POI 704 and shows the trace 706 of the user going to the POI 704. The POI 704 can be, for example, a monument or a historical building, and the AR 702 can be defined to coincide with at least a portion of the approach or lane of the POI 704. FIG. 10(d) illustrates the AR 802 associated with the POI 804 and shows the trace 806 of the user who went to the POI 804. POI 804 may, for example, be a roadside restaurant or motel, and AR 802 is defined to coincide with at least a portion of the road passing through POI 146562.doc • 36- 201131142 804. In the described embodiment, the number of users who go to the POI is determined based on the number of users entering Ar associated with P〇I. However, depending on the nature of 卩(1) and the definition of AR (and in detail, !> 〇1 is close to the extent of the road or pathway), the user can enter the AR without going to the POI. Therefore, the number of users who go to p〇I can be defined as the number of users entering the AR and the average speed in the AR is less than the threshold speed. Alternatively, the number of users who go to p〇I can be defined as the number of users who enter the AR and spend more time in the AR than the threshold period. In addition, the average length of time that a plurality of users spend on the P0I may also indicate the degree of popularity of the POI or the user's interest in the goods and/or services provided by the P〇I. Therefore, the quality parameter of the POI can vary depending on the number of users who go to p〇I and/or the average length of time spent on the P0I. However, the average length of time spent on the POI may reflect the efficiency of the goods and/or services provided by the owner or operator of the POJ rather than the popularity of (1), and for such POI, the cost is on the POI. The quality parameters that vary over the average length of time may not be appropriate. The server processor 12 does not calculate the opening and/or closing time of the p〇I based on whether the number of users who go to the p-I in one hour is less than or equal to the number of users in the threshold, but may be based on the number of weeks in the plural weeks. Calculate the busy time of the point of interest by the highest number of users who go to the POI during a particular day of the week. Similarly, server processor 12 may calculate the spatial time of the point of interest based on the lowest number of users who have been deafed during a particular day of the week during the week. The calculated busy and/or idle time 146562.doc •37· 201131142 can be transmitted to the navigation device 4 and displayed by the display benefit 30 in response to the user request. Although the embodiment described in the description of the δ sheep detail refers to the Gps, the benefit described herein may be used as a substitute for GPS (or in fact, in addition to (10)). . For example, the device σ utilizes the Octavia global navigation satellite system, such as the European Galileo system, 'first of all, these devices are not limited to the use of satellite-based navigation systems, but can be easily used based on ground-based beacons or Any other system that enables the device to determine its geographic location comes into play. "Alternative embodiments of the present invention can be implemented as a computer-generated computer program product for use with a computer system, for example, stored on a tangible data recording medium (such as 'magnetic disk, CD_R〇M, r〇m, or fixed magnetic A series of computer commands on a disc, or embodied in a computer data signal, transmitted via a (four) body or wireless medium (such as 'microwave or infrared'). The series of computer instructions can constitute the functionality described above. All or part, and may also be stored in any memory device (volatile or non-volatile, such as a semi-V body, magnetic, optical or other memory device). Those skilled in the art will also It is well understood that although the embodiment described is a software that implements a certain functionality 'but the functionality can be the same only on the hardware one (for example, by one or more ASICs (Special Application Integrated Circuits) or The invention is implemented by a mixture of hardware and software. Therefore, the scope of the present invention should not be construed as being limited to being implemented in software. It should be understood that the present invention has been described by way of example only, and Modifications of the details are made within the scope of the invention. 146562.doc -38- 201131142 Each feature disclosed and/or where appropriate in the claims may be provided independently or in any suitable combination. It should also be noted that 'although the scope of the patent application claims a particular combination of the features described herein', the scope of the invention is not limited to the specific combinations of the claims below, and the scope of the invention extends to include Any combination of features or embodiments, whether or not the specific combination has been specifically enumerated in the scope of the accompanying claims at this time. [FIG. 1] FIG. 1 is a map drawing and/or an embodiment of the present invention. Or a schematic representation of a navigation system; FIG. 2 is a schematic representation of a navigation system incorporating an embodiment of the present invention; FIG. 3 is a diagram illustrating a method of constructing an imaginary I1 associated with a point of interest within a time period A portion of the initialization process flow diagram; FIG. 4 is a second portion of the method of illustrating the attribute associated with the point of interest within the time period τ of FIG. Figure 5 is a schematic representation of the use of the method illustrated in Figures 3 and * for an example of three users; Figure 6 shows a screen capture of a portable navigation device, the screen capture The panel displays the quality attributes of the gasoline station's "point of interest" using the method of Figures 3 and 4; Figure 7 is a diagram showing the number of users of the point of interest determined using the methods of Figures 3 and 4. A bar chart that evolves month by month over a one-year period; Figure 8 shows the number of users 146562.doc -39· 201131142 determined by the method of Figures 3 and 4 in a few weeks. a bar chart that evolves hour by hour on the same day of the week; Figure 9 shows a screen capture screen of a portable navigation device that displays the gasoline containing the method determined using the methods of Figures 3 and 4 The opening and closing time of the focus of the station or force σ station; Figure 10 shows the screen capture of a portable navigation device, which displays the gasoline station including the method of Figure 3 and Figure 4. Or the quality of the focus of the gas station Level attribute; Figure 11 (a) is a schematic representation of the path along the user of a point of interest, the point of interest has a relevant area surrounding the point of interest; Figure 11 (b) is a description of the point of interest The schematic of the path along which the user is located indicates that the point of interest has a relevant area adjacent to the point of interest; ~ Figure 11 (c) is a schematic illustration of the path along the user who goes to a point of interest The left point has a domain associated with the approach of the far focus; and the neighbor & U(4) is the path along which the user of the point of interest is located - this representation 'the point of interest has a neighbor At this point of interest:: The relevant area associated with one of the roads. ^ [Main component symbol description] 2 Navigation system 4 Navigation device 4a Position determining device/navigation device 4b Position determining device/navigation device 4c Position determining device/navigation device 146562.doc 201131142 4d Position determining device/navigation device 4e Position determining device /Navigation device 8 Server 10 Communication channel 11 Position data processing module 12 Server processor 13 Point of interest (POI) data processing module 14 Memory-memory 16 Wired or wireless connection 18 Large-capacity data storage device 20 Transmitter 22 Receiver 24 Transmitter 26 Receiver 28 Input Device 30 Display Device 150 Point of Interest 152 Round AR 154 Trace 156 Trace 158 Trace 160 Road 202 Location 204 Petrol Pump Symbol 146562.doc -41 - 201131142 206 Destination 302 Location 304 petrol pump symbol 306 destination 402 position 404 petrol pump symbol 406 destination 502 AR 504 POI 506 trace 602 AR 604 POI 606 trace 702 AR 704 POI 706 trace 802 AR 804 POI 806 trace 146562.doc .

Claims (1)

201131142 VII. Patent application scope: h A method for estimating an attribute of a point of interest (150), comprising: associating a region (1 52) with the point of interest (150); and according to the position of the plurality of users The attribute (154, 156, 158) is compared (148) to the attribute data defining the location of the relevant area (丨 52). 2. The method of claim 1, wherein the plurality of users comprises a number of users whose location data has been stored in a database (18). 3. The method of claim 2 or 2, wherein the attribute is estimated based on a change in the location data of a user of each of the plurality of users over time. 4. The method of claim 3, comprising determining the number of users entering the relevant area (152). 5. The method of claim 3, which comprises determining a speed of a user within the associated area (152). 6. The method of claim 3, which comprises determining the length of time the user spends in the relevant area (152). 7. The method of claim 1 or 2, comprising the number of users entering the relevant area (152), the speed of each user entering the relevant area in the relevant area (152), and At least one of the length of time spent in the relevant area (152) by each user of the relevant area is estimated to estimate a quality parameter of the point of interest (150). 8. The method of claim 7, which comprises estimating the quality parameter for different time periods. 146562.doc 201131142 9. 10. 11. 12. 13. 14. 15. 16. 17. The method of claim 8, which comprises determining the point of interest based on values of quality parameters for different times or different time periods - Open time or an open time period and / or a closed time or a closed time period. The method of claim 9 includes determining a busy interval and/or an idle time period based on quality parameter values for different time periods. The method of claim 7, comprising determining one of the levels of the focus point ,5〇 according to one of the quality point value of the focus point (15〇) and the value of the quality parameter value of the other point of interest. X, μ or 夕 additional points of interest provide goods and/or services that are the same or similar to the goods offered at the point of interest and/or are located in the same geographic area as the point of interest. The method of claim 1 or 2, which includes Gu 3, is one of the attribute values of the point of interest. In the method of claim 12, the 认 合 庙 庙 ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± The method of claim 13, comprising the affiliation (204, 304, ) of the goods and/or services of the goods and/or services that are not in the vicinity of the point of view. The attribute value of the point of interest is displayed. A computer program comprising computer readable instructions executable to perform the method of any of items 1 to 14. A data carrier comprising computer readable instructions that are operative to perform the method of any of items 1 to 14. A navigation device (4) configured to receive and display a method of requesting an item to any one of 14 methods, one of the properties of one of 夂 146562.doc 201131142 value. 1 8 ·--- ^ Honey r , 罝 (2), configured to implement the method of any one of claims 1 to 4. 19. An apparatus for multiplying an attribute of a point of interest (150), comprising: a data storage (18) 'for storing location data of a plurality of users; and a processing resource (12), It is adapted to associate an area (152) with the point of interest (150) and to estimate the attribute based on a comparison of the location data of the plurality of users with the location data defining the relevant area (152). S 146562.doc