TWI701632B - Method and system for converting movement information into tangible value, and a computer-readable medium - Google Patents

Abstract

The disclosure is related to a method and a system for converting movement information into the tangible value. In the method, the system receives movement information from multiple user devices. The movement information can be vibrations, positions, time and velocities. A grade with respect to every user’s movement compared to the other users can be computed. Every user’s personal data and history data can be introduced to compensate the user’s grade so as to obtain a compensated grade suitable for the user’s characteristics. The compensated grade can compensate for a large difference between the user and his competitors. The system then converts the grade to valuable points that are able to correspond to a value of a tangible goods or service. The mechanism of compensation increases an opportunity for the user to get a reward by adjusting the user’s grade.

Description

Method, system and computer readable medium for converting physical value of mobile information

The specification discloses a mobile information conversion method and system, particularly a method and system for converting mobile information generated by a user device into physical value.

The competition is to find the best in various events. In sports competitions, the athletes who always jump the highest, the farthest, and run the fastest can win medals or bonuses. For example, the holding of a marathon is the easiest to host Those who get bonuses or medals based on the threshold set by the unit are the top people, and it is not easy for runners to reach the standard. The main difference is that top athletes can perform regular training and establish good habits in addition to their inherent physical advantages.

If participating in a specific sports competition or activity, always allowing a few top athletes to get bonuses or trophies, it may make most of the participants lack of interest, or adjust their goals for participating in the activity. For example, the average athlete is for health. movement.

Therefore, in various sports, ordinary athletes usually aim to break through their own records. For example, they can use software programs (such as mobile phone APP) to record their own performance in each exercise, or have functions to introduce others' performance. , And make comparisons as a way to urge you to continue to improve.

The disclosure book discloses a method, system, and computer-readable media for transforming the physical value of mobile information. The method is to allow each user participating in the activity to follow their past movements (including various sports), or add consumption history , Using a compensation mechanism to allow users participating in specific activities to perform activities in a situation that suits their level of challenge, increasing the chances of each participant to receive bonuses or prizes, instead of always letting some top athletes take them away Loss of interest due to bonuses or prizes.

In an embodiment of the method for converting physical value based on mobile information, the method is applied to a cloud system, and the cloud system can receive mobile information from multiple user devices. The mobile information includes continuously changing location information, as well as time and moving speed , These mobile information will be used to calculate the points of each user compared to the mobile information of multiple users, where the points reflect the ranking of each user among multiple users, and the overall performance reflected in it is in addition to mobile/sports performance , And can include the degree of interaction with the system, that is, the system encourages users to make more use of the system’s resources and participate in activities, which may become factors that affect the points and rankings.

Then, the system will compensate the points of each user based on the personal data and historical data of each user, and convert the compensated points of each user into points with physical value. The points can correspond to the value of a physical product or service.

For example, physical goods or services can be provided by a store, create an event, and set a threshold. When each user goes to the store, mobile information is also generated. When the points generated by mobile information reach the threshold after compensation, they can be converted into physical value Points to obtain physical goods or services.

In one embodiment, users participate in activities, and the system continuously receives mobile information generated by each user's device. After analyzing the received information, data of multiple users can be obtained, and the comparison between each user and multiple users The points of mobile information can then be calculated according to the personal data and historical data of each user to form the parameter weight of the conversion points, so that the system can convert the points of each user into points of physical value with the parameter weight corresponding to each user. When each user's points reach the threshold for obtaining physical goods or services in the event, a redeemable message is sent to each user's device.

The embodiment of the system for converting the physical value of mobile information includes a cloud system with a database, and a processor executes the above method of converting the physical value of mobile information.

In order to further understand the technology, methods and effects of the present invention to achieve the established objectives, please refer to the following detailed descriptions and drawings about the present invention. I believe that the objectives, features and characteristics of the present invention can be thoroughly and concretely obtained. It is understood that, however, the accompanying drawings are only provided for reference and illustration, and are not intended to limit the present invention.

31‧‧‧Participants distribution map before compensation

32‧‧‧Participants distribution map after compensation

301‧‧‧Distributed before compensation

302‧‧‧Forepart distribution after compensation

40‧‧‧User device

401‧‧‧Mobile Sensing Unit

411‧‧‧Position Sensor

412‧‧‧Accelerator

413‧‧‧Gyro

414‧‧‧Gravity Sensor

403‧‧‧Memory Unit

431‧‧‧Personalized data

432‧‧‧Consumption data

433‧‧‧Platform usage

405‧‧‧Data Processing Unit

407‧‧‧Communication Unit

42‧‧‧Internet

44‧‧‧System for mobile information to transform physical value

5‧‧‧User device

501‧‧‧Mobile Information

502‧‧‧Consumer Information

503‧‧‧Community Information

50‧‧‧Converting entity value

52‧‧‧Parameter weight

54‧‧‧Database

56‧‧‧Data Analysis

58‧‧‧Shop

59‧‧‧Social Media

511‧‧‧Virtual Currency

512‧‧‧Push message

513‧‧‧Consumption Analysis

514‧‧‧Historical data

Steps S101~S113‧‧‧Mobile information conversion entity value flow chart

Steps S201~S219‧‧‧Mobile Information Conversion Entity Value Flow Chart

Figure 1 shows an embodiment diagram of the basic process of the method for converting mobile information into entity value; Figure 2 shows a flowchart of another embodiment of the method for converting mobile information into entity value; Figure 3 shows a schematic diagram of the performance distribution of event participants before and after compensation; 4 shows a functional block diagram of an embodiment of a user device in the system for converting mobile information to physical value; Figure 5 shows a schematic diagram of an embodiment of the system for converting mobile information to physical value.

According to the method and system implementation of the mobile information conversion entity value disclosed in the disclosure, one of the main purposes of the mobile information conversion entity value method is to enable users to participate in activities happily through rewards with entity value. The user runs a specific software program on his portable device to obtain the user’s movement (including exercise) information, or can add consumption information to obtain the user’s historical data of various activities, and these historical data It will be a reference for calculating the compensation parameters corresponding to each user when the system converts the value of the entity to the mobile information of each user.

When the system can provide compensation based on past historical data for each user participating in the activity, in addition to allowing users to participate in specific competition activities using conditions that suit their own challenges, it also encourages users to engage in sports and consumption The effect is not lost because of always letting some top athletes take away bonuses or prizes.

The compensation mechanism is mainly based on the past movement history data (age, gender, speed, distance, difficulty, time) of each user to provide compensation weights. For example, users with slower speeds can be given higher weighted speed parameters, users with slower speeds but relatively long distances can be given higher distance weights, and users who have participated in system activities for a long time can be given higher weights. High overall weight, higher overall score weight can be given to older or younger users, and higher difficulty weight can be given to users who are often relatively difficult activities (such as climbing, running) Wait.

Among them, the judgment of whether the speed is slower, faster, longer distance, shorter, older, or the length of time involved can be derived from the data of the entire system user or the data of the entire user participating in a specific activity .

Furthermore, the system introduces a parameter of community force, which refers to the interaction of users with other users in specific social media (such as Facebook, Line), and is also formed by participating in activities in the system In addition to analyzing the interactive information on specific social media for specific users, the user interaction status that the system can determine is mainly obtained by the system of mobile information conversion entity value between each user and his set friends The interactions of, including friend invitation, message exchange, point exchange, whether to participate in activities together, etc. Community power reflects the influence of the system that users can influence friends to participate in the physical value of mobile information conversion. Therefore, the system will calculate the user’s community power based on the information introduced by the user or participating in activities together. Adjust the weight of the user’s community power. The system also provides a mechanism for users to assign points to each other, which also reflects the community strength of each user.

In this way, you can refer to Figure 1 to show the basic flow chart of the method for converting the physical value of mobile information. The system mainly converts the mobile information generated by the user’s device into points with physical value, and the points are converted into marketing in conjunction with the system. The store exchanges all or part of the value of specific goods or services, and the points are like a virtual currency circulating between the system, the user’s device and the store.

In an embodiment, the user carries a user device that executes a specific software program to move, such as walking, running, cycling, etc., and the way of movement can be determined according to the moving speed, and the sensor in the user device will generate position information. And time can be calculated as the moving speed, such as step S101, the user device connects to the system server, the system will receive the user's movement information, and then in step S103, the calculation program executed in the system will calculate the points of each user based on the movement information . The system can set the points of distance, speed and other parameter comparisons according to actual needs, which can be a kind of feedback to provide exercise, and then encourage users to exercise.

In step S105, the system provides a compensation mechanism to perform personalized compensation based on the user’s personal characteristics. The main method is to provide compensation parameter weights based on the user’s personal data and historical data, that is, when calculating each user’s points , Different weights can be proposed for specific parameters. For example, older or younger users are generally not easy to compete with young and middle-aged users. The weight can be adjusted based on the parameter of age. From past historical data, it can be known that if the user is highly connected to the system, or participate in the system The established activities have a high degree of participation, or the system’s related community power is high, and the system can provide such users with higher weight discounts; based on the user’s consumer product information in the historical data, the user’s interest and Preferences, parameters can be adjusted so that users can have a higher chance of getting rewards they are interested in. According to one of the embodiments, the calculation technique that can be used by the system is a histogram equalization technique, which is one of the methods that can make the statistical distribution of integrals appear uniform.

Then, in step S107, the system obtains the points converted from mobile information and compensated by each user, and converts the converted points into points with physical value. These points become virtual currency that can be used to consume physical goods or services, as in step S109 . When the user finally exchanges his points for some or all of the value of goods or services, the consumption information can also be analyzed by data, such as step S111, including the mobile information sent by the user, to form the data for constructing the system database, such as step S113 will become the basis for compensating users' points in the future, and it can also become a decision-making reference for store marketing. For example, if a store establishes an event in the system, it can market products or services based on the attributes of system members in the area, and provide interesting products or services as rewards for the event.

In this way, through this method of mobile information conversion of physical value, users can be happy to generate mobile information, that is, to encourage sports, mobile information can be converted into points with physical value; moreover, this method can make it difficult to obtain rewards After the points are compensated, users of users can compete with other users for rewards, so that the activity is no longer an activity where only a few people can get rewards, and the fun of participating in the activity is generated.

When the mobile information conversion entity value system obtains the data of most users through various activities, the data can be analyzed to obtain the overall mobile trend and user consumption trend in a specific area, including the characteristics of each user. Therefore, the mobile information conversion entity value system can cooperate with physical stores. In addition to providing accurate marketing by providing consumer trends in various stores and business districts, physical stores can also provide products or product discounts and establish activities through the system. Attract users to participate in the event. At this time, the system can assist the store to set a threshold for obtaining physical goods or services based on the overall points of multiple users. The threshold is based on the continuous mobile information generated by multiple users and the consumption of physical goods or services. Information can be changed at any time.

The main purpose of the activity is to allow consumers to move to a specific store for consumption, and users who pass the point threshold or complete tasks can redeem the goods provided by the store or purchase goods at a discount. In this way, because the consumer goes to the store to consume mobile information, the mobile information can be converted into points with physical value in the system, so that the store or business district can attract consumers to actually come to consume through the mechanism provided by the system. It is worth mentioning that, unlike the conventional method of recording user sports information or encouraging users to exercise through competition, in this mobile information conversion method of physical value, the system provides points with physical value under the mechanism of the system. In addition to achieving the purpose of exercise, users can also generate physical consumption or rewards.

For an embodiment, refer to the flowchart of another embodiment of the method for converting the value of an entity by mobile information as shown in FIG. 2. In this process, the system can provide competitive activities, or there are stores or business circles that can establish activities through this system. , The result of the activity provides rewards, so that the system user is willing to join the activity. For example, in step S201, the software program in the user’s device is searched and added to an activity. The qualifications for participating in the activity and the conditions for obtaining the final reward are provided, and the system then Receive information about users participating in activities.

Then, the cloud host provided by the system can receive the mobile information generated by the sensor in the user's device. In step S203, the mobile information includes continuously generated location information, time, direction of movement, geographic conditions and other information, and the system will be able to obtain information from The information received by the user device is analyzed to obtain user data, as in step S205, and personalization and participant data are obtained accordingly, as in step S207.

The system can then determine the points of each user in the activity by comparing the overall performance of all users participating in the activity. For example, during the activity, continue to calculate the current overall moving average, and then calculate the average value compared to this average. The individual scores are expressed in points, as in step S209. However, according to the user data of the system database, each user has its own differences. If the absolute points are used to judge, it will produce activities that are monopolized by a few people. Therefore, in the compensation mechanism proposed by the system, such as step S211, Calculate the weight of each parameter based on the personalized data, such as the age, gender, and place of residence of each user. The system can adjust the weight of the parameters to calculate the points according to the user’s age and gender. The personalized data also includes the system The historical data recorded in the past in the middle includes the history of past participation activities (indicating the user's adherence to the system), records (such as the distance moved, time and speed, the experience of winning, etc.) and platform usage. The historical data includes the consumption information of each user, and the platform usage of the system includes the time, frequency, points, number of friends of each user compared to multiple users, and/or through the system platform (cloud system The message response made by) and the number of messages generated are used to evaluate a user’s activity in the system. In order to increase platform usage, the system can adjust various activity factors and calculation weights in a timely manner. In the system, users can ask friends to join and exchange points.

After that, in step S213, the system will calculate the points of the entity value according to the parameter weight of the compensation for each user. These points have the entity value. As in step S215, the system provides options for the user to decide whether to obtain the physical goods or services. Qualifications? If not, it may be that the mobile information is not enough to be converted into goods that are good for redemption or interest. You can continue the activity and return to step S203 to continue generating mobile information. The system continues the process of converting the user's mobile information into points . If the user agrees to redeem the points for goods or specific services, in step S217, they can redeem them at the store that provides the goods or service rewards. The related consumption information and mobile information are the content of continuing to create personalized mobile and consumption data. Such as step S219.

On the one hand, the compensation mechanism provided by the system can balance the degree of users participating in the activity based on the personal characteristics of each user and past historical data, so that the disadvantaged users will not give up because they have been unable to get rewards due to the large difference in degree. Participation can therefore attract most users. However, the compensation mechanism of the system will not deliberately reduce the chances of rewards for users with better capabilities or advantages; on the other hand, the compensation mechanism can also be used to reward continued participation Users who are active in the system and have high platform usage can increase the adhesion of the system.

The purpose of the compensation mechanism is to show the performance distribution of participants before and after compensation as shown in Figure 3. In the distribution diagram of participants before compensation 31, it can be seen that the sports performance (horizontal axis) of most sports people (vertical axis) falls on In the middle stage, in general competitions, only a few people will have higher sports performances. For example, to compensate for the proportion of the population covered by the distribution 301 in the previous stage, these people are those who can get rewards for various sports activities. After the compensation proposed by the system, the distribution map will be as shown in the distribution of participants after compensation 32. The curve is relatively flat and the position is higher. Obviously, the compensation mechanism can balance the distribution of the moving population so that more people can fall on After compensation, the front-end distribution is 302.

In addition to the compensation mechanism described in the above embodiment, which calculates the weight of the parameters for calculating the points based on the user’s personal data and historical data, it is also possible for the system to randomly select users to add points (points), so that each user can randomly Give points to achieve the goal of balance. Points are like a kind of virtual currency. When the points provided by the system are converted into goods or services with physical value, it is like a virtual currency that passes between users, stores and the system.

The method of realizing the conversion of mobile information into the physical value mainly relies on the mobile device carried by the user to generate a signal to communicate with the system-side host, and then the system-side calculates integrals, parameter weights, and points. An example is a functional block diagram of a user device in the system for converting physical value of mobile information as shown in FIG. 4.

The user device 40, such as an electronic device carried by the user, is provided with a data processing unit 405 for executing software programs and calculations, and a communication unit 407 for communicating with the cloud system. The system 44 for transforming the physical value of mobile information is implemented by a cloud system with a database, and a processor is used to execute the method for transforming the physical value of mobile information. The user device 40 connects to the mobile information conversion entity value system 44 through the network 42, and the software program operating in the user device 40 transmits data to the mobile information conversion entity value system 44, and receives the data calculated by the system side .

The main circuit unit of the method for realizing the value of mobile information conversion entity is the mobile sensing unit 401. In general, the mobile sensing unit 401 includes a position sensor 411, such as a global positioning system (GPS). The software program in the user device 40 obtains the position information periodically sent by the position sensor 411 and the corresponding time. After a period of time, continuous position changes form movement information, and the movement distance and speed can be calculated. The motion sensing unit 401 may also have an accelerometer 412. The accelerometer 412 can obtain the force of the user device in three dimensions to calculate the acceleration, which can be used to detect the movement of the user holding the user device 40, such as vibration and vibration. Information can assist in calculating the number of moving steps, and the number of walking steps can also be the goal of an activity. The gyroscope 413 of the movement sensing unit 401 can accurately detect the angular velocity when the user device 40 moves, and can obtain the horizontal direction of movement. The gravity sensor (G-sensor) 414 of the mobile sensing unit 401 is a linear accelerometer, which can provide speed and displacement information. In addition to the above sensors, the user device 40 does not exclude that the user device 40 may also be provided with sensors that obtain the user's environmental parameters, such as an altitude meter, a thermometer, and a barometer. The data obtained by the above-mentioned various sensors can be used as the data when the individual moves, and then become the basis for calculating the parameter weight.

The memory unit 403 of the user device 40 covers various types of memory. In addition to being used as a data register when the device is in operation, it is also used to store data during movement, and to record personalization data 431 and consumption by executing software programs. Data 432 and platform usage 433. Personalized data 431 such as the user’s age, gender, and frequent activity area, consumption data 432 includes the goods or services redeemed or purchased through the system, and consumption location, and platform usage 433 includes the user’s time of using the system and friends’ The status, the status of participating activities, and the number of points obtained, and the number of message responses and message generations generated by each user in the system for converting the physical value of mobile information can be the basis for evaluating platform usage, which can reflect the user The participation of the platform does not rule out the activities of users in other social media.

The data processing unit 405 calculates the data required by the mobile information conversion entity value system 44 based on the mobile information generated by the mobile sensing unit 401 and the data obtained in the memory unit 403, so that the system 44 can collect each user through the communication unit 407 Data such as distance (km), steps (the number of vibrations detected by the sensor, which can appropriately reflect calories), hours of participation in activities (hours), speed (km/hour), difficulty (according to geographic location) Judged height, slope, etc.), and objective data such as weather, temperature and humidity. Together with the user's participation in activities, community power (platform usage), and records of actual redemption of entity rewards, the points of each user in the mobile information conversion entity value system are finally formed. These will become the historical data of the user.

When the mobile information conversion entity value system 44 has the mobile and consumption data of multiple users, after data analysis, it can provide the store or business circle to perform advertising and marketing, achieve the purpose of guiding customers to the store, and provide complete customer management for the store. And other functions.

Figure 5 then shows a schematic diagram of an embodiment of a system for converting physical value of mobile information. This schematic diagram depicts that the system obtains various mobile and consumption information of the user through the user device 5 on the user side, and can be converted into consumption in stores 58, business circles, etc. Big data needed by the venue.

The user operates the software program executed in the user device 5, can join the activities created by the system, and actually move, and can walk, run, cycle and other sports. The store 58 can use the system for marketing and encourage users to go and spend. It is possible to participate in the social media 59 and consume in the store 58 through the user device 5. For example, users can interact with other users in the system to form a community, and even consume physical goods or services through the system. In this way, the system can receive mobile information 501, consumption information 502, and community information 503 from the user devices 5 of multiple users.

The software program in the system calculates the points of each user compared to the mobile information of multiple users based on the mobile information 501, consumption information 502 and social information 503. The points mainly reflect the ranking of each user among multiple users. , And execute the conversion entity value 50. At the same time, it can calculate the parameter weight 52 based on the user's personal data and historical data (514) obtained from the database 54 to compensate the user's points for participating in the activity, so as to convert the compensated points of each user into points of physical value , The points correspond to the value of a physical product or service.

The above various types of data form a database 54 which includes the user’s personal data and overall data. Therefore, through data analysis 56, the overall and personal consumption behavior can be analyzed to form consumption data of all the interests of consumers in shops 58, business circles, etc. Provide consumption analysis (513) to store 58, which becomes the basis for store 58 marketing.

In addition, the points obtained by converting the physical value of 50 can be converted into virtual currency (511) that can be exchanged or discounted for physical goods or services, which are transmitted by the system to the user device 5, which is a virtual currency that can be circulated with the store 58 and the system. Currency (511). The system also communicates with the user device 5 via push messages (512), including when each user’s points reach the threshold for obtaining physical goods or services in a specific activity, the push message (512) is sent to each The user’s device can also deliver information such as marketing advertisements, latest events and community information.

Therefore, according to the embodiment of the method and system for converting the physical value of mobile information contained in the disclosure, the mobile information generated by the user's exercise can be converted into points with physical value, except for competing with other users. In addition to rewards, a compensation mechanism is proposed. The system will compensate users’ points based on their personal data and historical data, so that users can get points suitable for their own characteristics, and avoid the large gap that makes ordinary users uncomfortable. It is easy to get rewards, and the points after this compensation mechanism can be converted into points with physical value, forming an incentive to consume goods. Therefore, the system can obtain more consumer consumption information, and after data analysis, it can provide store marketing information.

The above are only preferred and feasible embodiments of the present invention, and all equivalent changes and modifications made in accordance with the scope of the patent application of the present invention shall fall within the scope of the present invention.

S101‧‧‧Receive user mobile information

S103‧‧‧Calculate the points of each user

S105‧‧‧Execution of personalized compensation

S107‧‧‧Convert points into points with physical value

S109‧‧‧Consumption

S111‧‧‧Data Analysis

S113‧‧‧Database

Claims (7)

A method for converting the value of mobile information into an entity, applied to a cloud system, includes: receiving mobile information from multiple user devices; calculating the points of each user compared to the multiple users’ mobile information, where the points reflect The ranking of each user among the multiple users; the points of each user are compensated based on the personal data and historical data of each user, where the personal data includes the age and gender of each user, and the historical data is each user The movement history data of each user, including the speed, distance, difficulty and time of each user's past movement, as a parameter weight for compensating the points of each user, and the historical data also includes the consumption information of each user and the use of the cloud The usage of a platform of the system, the usage of the platform includes the time, number of times, points, number of friends, and/or the number of message responses and message generations compared to each user using the cloud system; and after the conversion of each user compensation The points are points with physical value, which correspond to the value of a physical product or service. The method for converting physical value of mobile information according to claim 1, wherein the mobile information received from the user device includes vibration information, location information, time information, and speed generated by one or more sensors in the user device Information, and/or altitude information. The method for converting mobile information into physical value according to claim 1, wherein the physical goods or services are provided by a store, and the mobile information is also generated when each user goes to the store. The method for converting the physical value of mobile information according to one of claim 1 to 3, wherein a threshold for obtaining the physical goods or services is set according to the overall points of the multiple users, and the threshold is based on the multiple users The continuously generated mobile information changes with the consumption of the physical goods or services. A method for mobile information to transform the value of entities, applied in a cloud system, including Including: receiving information about multiple users participating in an event from multiple user devices; receiving mobile information generated by each user device, the mobile information including vibration information generated by one or more sensors in the user device, Position information, time information, speed information, and/or altitude information; analyze the information received from each user’s device to obtain the data of the multiple users; calculate the mobile information of each user compared to the multiple users Points, where the points reflect the ranking of each user among the multiple users; compensate the points for each user based on the personal data and historical data of each user, where the personal data includes the age and gender of each user, The historical data is the movement history data of each user, including the speed, distance, difficulty and time of each user's past movement as a parameter weight for compensating the points of each user, and the historical data further includes each user The consumption information of and the usage of a platform using the cloud system, the usage of the platform includes the time, number of times, points, number of friends, and/or the number of message responses and messages generated compared to each user's use of the cloud system; According to the personal data and historical data of each user, a parameter weight is formed to convert the points compensated by each user; the parameter weight corresponding to each user is used to convert each user's points into points with physical value, which corresponds to The value of a physical product or service; and when each user’s points reach a threshold for obtaining the physical product or service in the activity, a message is sent to each user’s device; where each user generates The mobile information and consumption information of the physical goods or services form the historical data of each user. A system for mobile information conversion to physical value includes: a cloud system with a database, and a processor to execute a mobile information conversion method for physical value, including: Receive movement information from a plurality of user devices, wherein a mobile sensing unit in each user device generates position information, and continuous position changes form the movement information, wherein the movement information includes one or more sensors in the user device The vibration information, location information, time information, speed information, and/or altitude information generated by the detector; calculate the integral of each user compared to the movement information of the multiple users, where the integral reflects the The ranking of each user; the points of each user are compensated according to the personal data and historical data of each user recorded in the database, where the personal data includes the age and gender of each user, and the historical data includes each user The past movement information of each user includes the speed, distance, difficulty and time of each user's past movement, and the historical data also includes the consumption information of each user and the usage of a platform using the cloud system, and the usage of the platform Including the time, number of times, points, number of friends, and/or the number of message responses and messages generated compared to each user using the cloud system to compensate for the weight of the parameters of each user's points; and the conversion of each user's compensation Points are points with physical value, which correspond to the value of a physical product or service. According to the mobile information conversion entity value system of claim 6, wherein the historical data further includes the number of message responses and message generation; the cloud system further receives consumption information and/or community information of each user from each user device.

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