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WO2016151470A1 - Système et procédé de rétroaction et de classement de produits - Google Patents

Système et procédé de rétroaction et de classement de produits Download PDF

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Publication number
WO2016151470A1
WO2016151470A1 PCT/IB2016/051570 IB2016051570W WO2016151470A1 WO 2016151470 A1 WO2016151470 A1 WO 2016151470A1 IB 2016051570 W IB2016051570 W IB 2016051570W WO 2016151470 A1 WO2016151470 A1 WO 2016151470A1
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WIPO (PCT)
Prior art keywords
feature
sub
owner
features
rating
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English (en)
Inventor
Santosh Prabhu
Palash PATIL
Muralidhar Rajan
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Individual
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Individual
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0217—Discounts or incentives, e.g. coupons or rebates involving input on products or services in exchange for incentives or rewards

Definitions

  • the present invention relates to a rating and feedback system and in particular, it relates to rating a product and providing feedback based on relevancy.
  • rating and feedback systems have been used to help buyers to predict if the content will be right for them.
  • the existing rating and feedback systems suffer from the following drawbacks like justification of rating and feedback i.e., existing rating and feedback systems lack justification of why any owner has rated a product high or low.
  • a prospective buyer would have to make intelligent guesses to make sense of the rating combining it with the feedback, if available.
  • Another basic problem with most systems is the lack of a method and system to filter out reviews and comments by people who do not actually own the product.
  • Rating & feedback from the owner is considered as a one-time activity i.e., rating and feedback is solicited from the owner during the early days of purchase of the product. This approach could result in an immature rating from the owner of the product as the pros and cons of the product are not yet known to the owner. This also means that any medium- long term usage based review of the product would most likely be missed unless the owner updates the review and feedback pro-actively.
  • Product is considered a monolithic entity i.e., any product is made of multiple features, however most rating and feedback systems ignore this fact. They treat the product as a monolithic entity and do not go into enough depth of the offered features. This means that the owner has to fill in rest of the data via description which is cumbersome to fill and much more cumbersome for a prospective buyer to go through.
  • Soliciting rating and feedback from irrelevant owners i.e., different owners would use different aspects or features of a product more, amongst the available features. This would imply that they have a better sense of the pros and cons of that feature, compared to features they have used relatively fewer times or not used at all.
  • This aspect is not considered in existing rating & feedback systems, which causes irrelevant ratings from owners, who despite owning the product may not be the best to provide feedback and rating on all aspects of that product. Soliciting rating and feedback from an owner at a wrong time i.e., existing systems do not take into account the state of mind of the owner and if the owner has the time and inclination to actually provide ratings and feedback. Without understanding this, if prompted to provide rating and feedback, the owner may either ignore the request or provide wrong data just to get done with the activity.
  • None of the existing rating and feedback systems take into account the current usage of the product and the owner's state of mind while prompting for a rating and feedback. This concept is used to an extent by applications in the Google Play store wherein after a certain usage of a feature of the application, the application requests the owner to rate the application.
  • Existing rating and feedback systems rely on the stake holders to go through unsatisfactory reviews in the system, somehow connect to the reviewers and then work on a possible solution. Even after this, if the problem does get fixed, the rating system does not solicit the owner to update the rating. It is purely up to the stakeholder to remind the owner to do so or the owner pleased with the support received will have to do it.
  • the present invention as embodied and broadly described herein, is related to a product rating and feedback method and system.
  • the product rating and feedback method comprises identifying owners of same product based on a first information, said first information extracted from each product, and prompting the owners of said same product to provide an actual rating and feedback in relation to one or more features and/or sub-features of said same product.
  • the same products have same first information.
  • the said information includes one or more brand name of the product, model number of the product and specification of the product.
  • the product rating and feedback method comprises identifying owners of same product based on first information, said first information extracted from each product, identifying, based on a pre-determined criterion, one or more relevant features and/or sub-features corresponding to each owner, and prompting said each owner to provide rating and feedback in relation to said one or more relevant features and/or sub-features.
  • the above-discussed method(s) further comprises identification of one or more first factors prior to prompting the owner for rating and feedback, said first factors including: length of time of usage of said one or more feature and/or sub-feature; frequency of usage of said one or more feature and/or sub-feature and context of usage of said one or more feature and/or sub-feature.
  • the said method(s) further comprises assigning weight to each feature and/or sub- feature and/or relevant features and/or sub-features of the product based on one or more second factors and calculating relevant ratings of said each feature and/or sub-feature and/or said relevant feature and/or sub-feature.
  • the said method(s) further comprises providing means of resolution to the owner if the owner has provided the actual rating lower than a pre-determined rating; monitoring, on adoption of said means of resolution by the owner, a performance of the feature and /or sub- feature and/or relevant features and/or sub-features; prompting, on variation in the performance of said feature and/or sub-feature and/or relevant features and/or sub-features, the user to update the actual rating in relation to said feature and/or sub-feature and/or relevant features and/or sub-features; and recording said updated rating in relation to said feature and/or sub-feature.
  • Figure 1 illustrates a product rating and feedback method 100, in accordance with one or more embodiments of the present invention.
  • Figure 2 illustrates a product rating and feedback method 200, in accordance with one or more embodiments of the present invention.
  • Figure 3 (a) and Figure 3(b) illustrates a product rating and feedback system 300, in accordance with one or more embodiments of the present invention.
  • Figure 4 illustrates the constructional details of a product 400 such as a mobile communication device, in accordance with the embodiments of the present invention.
  • FIG. 5 illustrates the constructional details of a platform/module 500 implemented in a server interacting with one or more products, in accordance with the embodiments of the present invention.
  • FIG. 6 illustrates a typical hardware configuration of a server 600, which is representative of a hardware environment for implementing the present invention.
  • the server as described above, includes the hardware configuration as described below.
  • like reference numerals have been used to represent like elements in the drawings.
  • elements in the drawings are illustrated for simplicity and may not have been necessarily drawn to scale. For example, the dimensions of some of the elements in the drawings may be exaggerated relative to other elements to help to improve understanding of aspects of the invention.
  • any terms used herein such as but not limited to “includes,” “comprises,” “has,” “consists,” and grammatical variants thereof do NOT specify an exact limitation or restriction and certainly do NOT exclude the possible addition of one or more features or elements, unless otherwise stated, and furthermore must NOT be taken to exclude the possible removal of one or more of the listed features and elements, unless otherwise stated with the limiting language “MUST comprise” or “NEEDS TO include.”
  • Figure 1 illustrates a product rating and feedback method 100, in accordance with one or more embodiments of the present invention.
  • the method comprises identifying owners of same product based on first information wherein said first information is extracted from the product of one or more owner.
  • the said first information includes one or more: brand name of the product, model number of the product and specification of the product. It is to be noted that first information of the same products is same. The owners of the same product are automatically grouped together and only the identified owners of the same product will be allowed to share the rating and feedback in relation to said same product.
  • the method comprises the optional step of identification of one or more first factors prior to prompting the owner for rating and feedback in relation to one or more features and/or sub-features of a product.
  • first factors include one or more: length of time of usage of said one or more feature and/or sub-feature; frequency of usage of said one or more feature and/or sub-feature and context of usage of said one or more feature and/or sub-feature.
  • This combination of first factors would ensure that the owner is prompted for feedback at the right time and is in the right context with respect to usage of the feature he is being prompted to rate. Understanding what is important to the owner of the product is a very important aspect of this rating and feedback system. A feature which is important to one owner might not be very relevant to another owner of the same product. The proposed method takes this into account when prompting for and calculating the ratings and feedback from an owner.
  • the method comprises sensing this via parsing the meta- data of the clicked images and by looking at the ISO values and that flash was fired, prompts her to rate the low light performance of the camera and the flash performance.
  • the method comprises sensing that the calls typically last 10-12 minutes on an average with a gap of around 40 minute between calls. It also senses through data available from the device that some calls have been made in good network area and some in areas with poor reception. In one of those breaks between calls, the method comprises prompting Betty to rate the audio performance of her smartphone with respect to call quality.
  • the method comprises sensing this pattern of charging and discharging and begins to build a profile of the charging habits of David. After 7 days of usage, the method comprises prompting David in the morning when he is about to plug the phone into the charger to rate the phone on the length of time it takes to charge. Similarly, in the evening when the battery backup falls below 15%, the method comprises prompting David to again rate the battery, but this time the battery backup of his Xperia Zl.
  • the method comprises prompting the owners of said same product to provide an actual rating and feedback in relation to one or more features and/or sub -features of said same product.
  • this feature of present invention allows the owner of the product to rate one or more features and/or sub-features of the product rather than limiting the scope of the rating to the overall product only. This enables prospective buyers with varied expectations and requirements to better understand the product from the point of view of different features and/or sub-features of product that are of interest to the prospective buyer. For example, in the case of a smartphone the owners would be prompted to rate the products for different features/aspects like camera, performance, battery and the like. Further, the expectation or requirement from within a feature/aspect of the product might also be different.
  • the method comprises prompting the owner to provide rating and feedback based on different sub feature/sub aspects within each feature/ aspect of the product. For example, in the case of a smartphone, the owners would be prompted to rate low light performance and flash performance of camera, application launch time in performance, charging time and battery backup in battery and the like.
  • the method further comprises the step of assigning weight to each feature and/or sub-feature of the product based on one or more second factors as shown at step 104.
  • the said second factor includes one or more: length of time of usage of said one or more feature and/or sub-feature by the owner, frequency of usage of said one or more feature and/or sub-feature by the owner and context of usage of said one or more feature and/or sub-feature and context of usage of said one or more feature and/or sub-feature.
  • the method further comprises the step calculating relevant ratings of said each feature and/or sub-feature based on (i) an actual rating provided by the owner to each feature and/or sub-feature; and (ii) the weight associated to said each feature and/or sub-feature.
  • the weights associated with the specific aspect of the product are not the same, even if the actual ratings from the owners are same.
  • the weights for each key feature/aspect may be derived from a relevancy index associated with each owner.
  • the weights may also be entered by the owner while rating the key feature/aspects of the product. For example, in the case of a smartphone, there could be 2 owners who rate camera 8 on a scale of 1 to 10, but the weights for each of the ratings derived from the relevancy index or as entered by the owner could be different on a scale of 1 to 10. This would result in the actual rating derived not being 8, on a scale of 1 to 10.
  • the statistical data extracted from the smartphones of other owners will also be shown, like average battery backup time from all owners in the group, to give the prospective buyer a method to justify the rating, wherever applicable.
  • the method further comprises the step of providing means of resolution to the owner if the owner has provided the actual rating lower than a predetermined rating as shown at step 106.
  • the said means of resolution are provided by connecting the owner to other owners of the said product.
  • the said means of resolution is provided by automatically suggesting the owner one or more option to improve the performance of one or more features and/or sub-features.
  • the said means are provided by directing the owner to a discussion forum in relation to said product.
  • the method further comprises the step of monitoring, on adoption of said means of resolution by the owner, a performance of the feature and /or sub-feature.
  • the method further comprises the step of prompting, on variation in the performance of said feature and/or sub-feature, the owner to update the actual rating in relation to said feature and/or sub-feature.
  • the method comprises the step of recording said updated rating in relation to said feature and/or sub- feature.
  • the method comprises sharing some suggestions based on settings by other owners of the same product, in the specific aspect of the product. This could be in the form of a statistical trend, for instance, 60% of owners in the group have set the brightness to auto.
  • the system of the present invention will also monitor if the owner has changed the specific setting subsequently and then prompt the owner to update the rating, either in case the system has extracted information justifying the improvement, like the battery graph since modification of the setting or seek for input from the owner. In case the owner updates the rating, the modification would be recorded by the system. This ensures a closed loop mechanism and dynamic updation of the rating and feedback system.
  • Tim rates the battery backup of his LG G2 Pro as poor, he is directed to the LG G2 Pro group->Discussion Forum->Battery category and shown the discussion threads which are tagged with "poor or low battery backup". These discussion threads would provide an insight to Tim to alter some settings on his device, like setting the display brightness to auto instead of 100%.
  • the method comprise sensing that Tim has made changes to some settings and would see this in the context of poor battery backup. Going forward, if there is a change observed in the battery backup on his LG G2 Pro, the method comprises prompting Tim to revisit the rating he has given for the battery backup of his device and provide him with the delta improvement that would have occurred if any.
  • the method further comprises creating profile of one or more owners as a part of registration of the owner wherein the method comprises one or more: (i) extracting information in relation to profession, demography, location, interests and the like from social media sites, and (ii) receiving information from the owner in relation to profession, demography, location, interests and the like from the owner.
  • the method further comprises: generating a report and transmitting said report to atleast one buyer's device.
  • the said report includes one or more feature and/or sub-features of the product, ratings in relation to said one or more features by atleast one owner, and a second information corresponding to said one or more ratings.
  • the said second information relates to justification of ratings and is based on one or more: length of time of usage of said features and/or sub features, time-period of usage of said one or more features, frequency of usage of said feature and/or sub-features and performance of said feature and/or sub-features in one or more conditions.
  • the said second information may be automatically generated by the system or may be received by the user.
  • the method may generate a report indicating ratings in relation to battery performance by each owner or a group of owners along with justification of said ratings, say one owner or group of owners rates battery performance as 5 as they get a battery backup of only 5 hours on playing games on said smart phone. However, another owner or group of owners may rate the battery performance as 7 as they do not play games on said smart phone and get a battery backup of 8 hours.
  • Figure 2 illustrates a product rating and feedback method 200, in accordance with one or more embodiments of the present invention.
  • the method comprises identifying owners of same product based on first information wherein said first information extracted product of one or more owner.
  • the said first information includes one or more: brand name of the product, model number of the product and specification of the product. It is to be noted that first information of the same products is same. The owners of the same product are automatically grouped together and only the identified owners of the same product will be allowed to share the rating and feedback in relation to said same product.
  • the method comprises identifying, based on a pre-determined criterion, one or more relevant features and/or sub-features corresponding to each owner.
  • the said pre-determined criterion to identify said one or more relevant features and/or sub-features includes one or more: length of time of usage of said feature and/or sub-feature, frequency of usage of said feature and/or sub-feature, number of applications installed by the owner in relation to said relevant feature and/or sub-feature, and number of times the owner has participated in an activity pertaining to said relevant feature and/or sub-feature.
  • the method comprises the optional step of identification of one or more first factors prior to prompting the owner for rating and feedback in relation to one or more features and/or sub-features of a product.
  • first factors include one or more: length of time of usage of said one or more feature and/or sub-feature; frequency of usage of said one or more feature and/or sub-feature and context of usage of said one or more feature and/or sub-feature.
  • the method comprises sensing this via parsing the meta- data of the clicked images and by looking at the ISO values and that flash was fired, prompts her to rate the low light performance of the camera and the flash performance.
  • the method comprises sensing that the calls typically last 10-12 minutes on an average with a gap of around 40 minute between calls. It also senses through data available from the device that some calls have been made in good network area and some in areas with poor reception. In one of those breaks between calls, the method comprises prompting Betty to rate the audio performance of her smartphone with respect to call quality.
  • the method comprises sensing this pattern of charging and discharging and begins to build a profile of the charging habits of David. After 7 days of usage, the method comprises prompting David in the morning when he is about to plug the phone into the charger to rate the phone on the length of time it takes to charge. Similarly, in the evening when the battery backup falls below 15%, the method comprises prompting David to again rate the battery, but this time the battery backup of his Xperia Zl.
  • the method comprises prompting said each owner to provide rating and feedback in relation to said one or more relevant features and/or sub-features. It is to be noted that this feature of present invention ensures the relevancy in the rating and feedback.
  • the method comprises identifying relevant features and/or sub-feature corresponding to each owner for getting the rating and feedback . For example, in the case of a smartphone, an owner who owners camera extensively multiple times a day, has installed multiple applications related to camera, interested in photography and a frequent traveller by profession, might be more relevant to rate camera rather than another owner who hardly uses camera, a couple of times in a month.
  • an owner who captures images in low light identified by time of the day, ISO of the metadata extracted from the image and captures multiple images in low light, would be more relevant to rate the low light performance of the camera when compared to an owner who captures multiple images in daylight.
  • the weight associated with battery backup rating from an owner, who has been using the smartphone for say 3 months or more contextually might be higher than an owner who has been using it for 1 week, which could automatically be inferred, based on the date of purchase of the smartphone by the respective owners.
  • the method further comprises assigning weight to each relevant feature and/or sub feature of the product based on one or more second factors as shown at step 205.
  • the said second factors includes one or more: frequency of usage of said relevant feature and/or sub-feature, number of applications installed by the owner in relation to said relevant feature and/or sub-feature, and number of times the owner has participated in an activity pertaining to said relevant feature and/or sub-feature.
  • the method comprises calculating relevant ratings of said each feature and/or sub-feature based on (i) actual rating provided by the owner to said relevant feature and/or sub-feature; and (ii) the weight associated to each relevant feature and/or sub-feature.
  • the weights associated with the specific aspect of the product are not the same, even if the actual ratings from the owners are same.
  • the weights for each key feature/aspect may be derived from a relevancy index associated with each owner.
  • the weights may also be entered by the owner while rating the key feature/aspects of the product. For example, in the case of a smartphone, there could be 2 owners who rate camera 8 on a scale of 1 to 10, but the weights for each of the ratings derived from the relevancy index or as entered by the owner could be different on a scale of 1 to 10. This would result in the actual rating derived not being 8, on a scale of 1 to 10.
  • the statistical data extracted from the smartphones of other owners will also be shown, like average battery backup time from all owners in the group, to give the prospective buyer a method to justify the rating, wherever applicable.
  • the method further comprises providing means of resolution to the owner if the owner has provided the actual rating lower than a pre- determined rating as shown at step 207.
  • the said means of resolution are provided by connecting the owner to other owners of the said product.
  • the said means of resolution is provided by automatically suggesting the owner one or more option to improve the performance of one or more features and/or sub-features.
  • the said means are provided by directing the owner to a discussion forum in relation to said product.
  • the method further comprises the step of monitoring, on adoption of said means of resolution by the owner, a performance of the relevant feature and /or sub-feature.
  • the method further comprises prompting, on variation in the performance of said relevant feature and/or sub-feature, the owner to update the actual rating in relation to said relevant feature and/or sub-feature.
  • the method further comprises recording said updated rating in relation to said relevant feature and/or sub-feature.
  • the method steps 207, 208, 209 and 210 ensure that the mechanism of rating and feedback is an on-going process during the entire time of interaction of the product by the owner. For example, in the case of a smartphone, when a relevant owner rates the battery backup to be low, the method comprises sharing suggestions based on settings by other owners having same product, in the specific aspect of the product. This could be in the form of a statistical trend, for instance, 60% of owners in the group have set the brightness to auto.
  • the system of the present invention will also monitor if the owner has changed the specific setting subsequently and then prompt the owner to update the rating, either in case the system has extracted information justifying the improvement, like the battery graph since modification of the setting or seek for input from the owner. In case the owner updates the rating, the modification would be recorded by the system.
  • This ensures a closed loop mechanism and dynamic updation of the rating and feedback system For example, when Tim rates the battery backup of his LG G2 Pro as poor, he is directed to the LG G2 Pro group->Discussion Forum->Battery category and shown the discussion threads which are tagged with "poor or low battery backup". These discussion threads would provide an insight to Tim to alter some settings on his device, like setting the display brightness to auto instead of 100%.
  • the method comprises sensing that Tim has made changes to some settings and would see this in the context of poor battery backup. Going forward, if there is a change observed in the battery backup on his LG G2 Pro, the method comprises prompting Tim to revisit the rating he has given for the battery backup of his device and provide him with the delta improvement that would have occurred if any.
  • the method further comprises creating profile of one or more owners as a part of registration of the owner wherein the method comprises one or more: (i) extracting information in relation to profession, demography, location, interests and the like from social media sites, and (ii) receiving information from the owner in relation to profession, demography, location, interests and the like from the owner.
  • the method further comprises: generating a report and transmitting said report to atleast one buyer's device.
  • the said report includes one or more relevant feature and/or sub-features of the product, ratings in relation to said one or more relevant features by atleast one owner, and a second information corresponding to said one or more ratings.
  • the said second information relates to justification of ratings and is based on one or more: length of time of usage of said relevant features and/or sub features, time -period of usage of said one or more relevant features, frequency of usage of said relevant feature and/or sub-features and performance of said relevant feature and/or sub-features in one or more conditions.
  • the said second information may be automatically generated by the system or may be received by the user. For example, when A requests for report in relation to battery performance of smart phone "X", the method may generate a report indicating ratings in relation to battery performance by each owner or a group of owners along with justification of said ratings, say one owner or group of owners rates battery performance as 5 as they get a battery backup of only 5 hours on playing games on said smart phone. However, another owner or group of owners may rate the battery performance as 7 as they do not play games on said smart phone and get a battery backup of 8 hours.
  • Figure 3 (a) and Figure 3(b) illustrates a product rating and feedback system 300, in accordance with one or more embodiments of the present invention.
  • Figure 3(a) illustrates a system comprising a plurality of owners.
  • the said plurality of owners owns plurality of products 310 such as mobile devices.
  • the said plurality of products is connected to one or more servers by means of a communication network.
  • Figure 3(b) illustrates grouping of owners of the same product based on first information extracted from the product.
  • the said owners may be further divided into a group comprising relevant owners.
  • the said relevant owners are owners for whom one or more relevant features are identified by the server.
  • Brand B refers to a group of owners having product of same brand.
  • the said Brand B group is further sub-divided into a group of owners who are interested only in the camera of said product.
  • Figure 4 illustrates the constructional details of a product/device 400 such as a mobile communication device, in accordance with the embodiments of the present invention.
  • the said product 400 includes one or more of: a processing unit 401, a memory unit 402 having a rating and feedback platform/application/module 403 and related data 404 involved therein, a device interface 405, a communication interface 406 and an antenna assembly 407.
  • the processing unit 401 may include one or more processors, microprocessors, application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs), or the like.
  • the processing unit 401 may control the operation of the said mobile communication device 200 and its components.
  • the memory unit 402 may include a random access memory (RAM), a read only memory (ROM), and/or other type of memory to store data and instructions that may be used by the processing unit 401.
  • the memory unit 402 includes rating and feedback platform/application/module 403 and related data involved therein. More specifically, the rating and feedback platform/application/module 403 may be a pre-installed application or may be downloaded from a server hosting such an external application. In an alternative implementation, the functionality provided by the rating and feedback platform/application/module 403 may be implemented inbuilt in the product 400. A dedicated rating and feedback module 403 may be provided in the device 400 for that purpose.
  • the rating and feedback platform/application/module 403 may include one or more of routines, programs, objects, components, data structures, etc., which perform particular tasks, functions or implement particular abstract data types.
  • the rating and feedback data serves as a repository for storing data processed, received, and generated by the rating and feedback platform/application/module 403.
  • the product/device interface 405 may include mechanisms for inputting information to the device 400 and/or for outputting information from the device 400.
  • input and output mechanisms might include a speaker to receive electrical signals and output audio signals; a camera lens to receive image and/or video signals and output electrical signals; a microphone to receive audio signals and output electrical signals; buttons (e.g., control buttons and/or keys of a keypad) to permit data and control commands to be input into the device 200; a display to output visual information; a light emitting diode; a vibrator to cause the device 400 to vibrate etc.
  • the communication interface 406 may include any transceiver-like mechanism that enables the device 400 to communicate with other devices and/or systems.
  • the communication interface 406 may include a modem or an Ethernet interface to a LAN.
  • the communication interface 406 may also include mechanisms for communicating via a network, such as a wireless network.
  • the communication interface 406 may include a transmitter that may convert baseband signals from the processing unit 401 to radio frequency (RF) signals and/or a receiver that may convert RF signals to baseband signals.
  • RF radio frequency
  • the communication interface 406 may include a transceiver to perform functions of both a transmitter and a receiver.
  • the communication interface 406 may connect to the antenna assembly 407 for transmission and/or reception of the RF signals.
  • the antenna assembly 407 may include one or more antennas to transmit and/or receive RF signals over the air.
  • the antenna assembly 407 may, for example, receive RF signals from the communication interface 406 and transmit them over the air and receive RF signals over the air and provide them to the communication interface 406.
  • the communication interface 406 may communicate with new generation cellular network, older generation cellular network, and/or with one or more other cellular networks.
  • the device 400 may perform certain operations. The device 400 may perform these operations in response to the processing unit 401 executing software instructions contained in a computer-readable medium, such as the memory unit 402.
  • a computer-readable medium may be defined as a non-transitory memory device.
  • a memory device may include spaces within a single physical memory device or spread across multiple physical memory devices.
  • the software instructions may be read into the memory unit 402 from another computer-readable medium or from another device via the communication interface 406.
  • the software instructions contained in the memory unit 402 may cause the processing unit 401 to perform processes described herein.
  • hardwired circuitry may be used in place of or in combination with software instructions to implement processes described herein. Thus, implementations described herein are not limited to any specific combination of hardware circuitry and software.
  • Figure 4 shows a number of components of the device 400
  • the device 400 may include fewer components, different components, differently arranged components, or additional components than depicted in said Figure 4. Additionally or alternatively, one or more components of the device 400 may perform the tasks described as being performed by one or more other components of the device 400.
  • the feedback platform/application/module 403 of the product 400 is configured for extracting the first information in relation to the product and transmitting said first information to a server.
  • the said first information includes one or more: brand name of the product, model number of the product and specification of the product.
  • the feedback platform/application/module 403 is further configured for one or more: (i) receiving a request from a server to provide information in relation to one or more features and/or or sub-features of said product, (ii) transmitting said information to the server, (ii) receiving a request from a server to provide rating and feedback in relation to one or more features and or sub-features of said product, and (ii) transmitting said rating and feedback to the server.
  • the said information may include one or more: length of time of usage of said one or more feature and/or sub-feature; frequency of usage of said one or more feature and/or sub- feature, context of usage of said one or more feature and/or sub-feature, number of applications installed by the owner in relation to said feature and/or sub-feature, number of times the owner has participated in an activity pertaining to said feature and/or sub-feature, results of use of said one or more feature and/or sub-features.
  • FIG. 5 illustrates the constructional details of a platform/module 500 implemented in a server interacting with one or more products, in accordance with the embodiments of the present invention.
  • said platform/module comprises one or more: a receiving/data collection module 510, a group creation module 520, a rating and feedback collection module 530, a weighted rating module 540, a first factor detecting module 550 and a resolution module 560.
  • the said receiving module 510 is configured for receiving first information from one or more products.
  • the said module is further configured for receiving information in relation one or more features and/or sub-features of the product.
  • the said first information includes one or more: brand name of the product, model number of the product and specification of the product.
  • the said information in relation one or more features and/or sub-features of the product includes one or more: length of time of usage of said one or more feature and/or sub-feature; frequency of usage of said one or more feature and/or sub- feature, context of usage of said one or more feature and/or sub-feature, number of applications installed by the owner in relation to said feature and/or sub-feature, number of times the owner has participated in an activity pertaining to said feature and/or sub-feature, results of use of said one or more feature and/or sub-features.
  • the said receiving module is further configured for one or more (i) extracting information in relation to profession, demography, location, interests and the like from social media sites, and (ii) receiving information from the owner in relation to profession, demography, location, interests and the like from the owner.
  • the group collection module 520 is configured for automatically creating one or more groups based on first information from each product. It is to be noted that each group comprises products having same first information. The group collection module is further configured for creation of sub-groups in each group based on interests of the each owner with different aspects of the associated product. For example, in the case of a smart phone, the software group collection module 520 creates sub-groups like camera, customization and applications, games and performance, new launches and the like.
  • the rating and feedback collection module 530 is configured for collecting the actual rating and feedback from the one or more owners of the product.
  • the rating and feedback collection module 530 includes a Decision Support System (DSS) to get rating and feedback.
  • DSS Decision Support System
  • the rating and feedback collection module 530 collects in-depth feature specific product rating and feedback from the each owner based on at least one of usage of a feature repeatedly used by the each owner, additional applications or services the each owner has related to that feature, weighted ratings for features based on Decision Support System (DSS).
  • DSS Decision Support System
  • the each owner would be prompted to rate the products for different key parameters like camera, performance, battery and the like. Further, the expectation or requirement from a feature/aspect of the product might also be different. So, the said module 530 prompts the each owner to provide rating and feedback based on different sub aspects/sub-features within each feature/aspect of the product. For example, in the case of a smartphone, the each owner would be prompted to rate low light performance and flash performance of camera, application launch time in performance, charging time and battery backup in battery and the like.
  • the module identifies relevant owners for each product for getting the rating and feedback for key features/aspects of the each product.
  • the said module 530 identifies the relevant owners based on a combination of various criteria, like information from the product, the usage with respect to the key aspects of the product to seek rating for, participation of the each owner in activities related to the key feature/aspect, interests of the each owner in certain features/aspects of the product derived from the owner profile and the like.
  • the said module 530 identifies the relevant owner based on a relevancy index.
  • an owner who uses camera extensively multiple times a day has installed multiple applications related to camera, interested in photography and a frequent traveller by profession, might be more relevant to rate camera rather than another owner who hardly uses camera, a couple of times in a month.
  • an owner who captures images in low light identified by time of the day, ISO of the metadata extracted from the image and captures multiple images in low light, would be more relevant to rate the low light performance of the camera when compared to the owner who captures multiple images in daylight.
  • the weight associated with battery backup rating from an owner, who has been using the smartphone for say 3 months or more, contextually might be higher than an owner who has been using it for 1 week, which could automatically be inferred by the module 530, based on the date of purchase of the smartphone by the respective owners.
  • the rating and feedback collection module 530 provides a statistical data along with rating and feedback to the prospective buyer.
  • the statistical data includes the relevant information of the feature of the mobile device being rated by the owner.
  • the said weighting rating module 540 is configured for assigning weight to each feature and/or sub-feature of the product based on one or more second factors, said second factors including: length of time of usage of said feature and/or sub-feature , frequency of usage of said feature and/or sub-feature, number of applications installed by the owner in relation to said feature and/or sub-feature and number of times the owner has participated in an activity pertaining to said feature and/or sub-feature.
  • the weighted rating module 540 ensures the ratings are calculated based on relevancy. For example, for an owner, who does not use a specific aspect of the smart phone as much as another owner, the weights associated with the specific aspect of the smart phone are not the same, even if though the actual ratings from the owners are same.
  • the weighted rating module 540 derives weights for each key aspect from the relevancy index associated with the each owner. In an embodiment, the weights could be entered by the each owner while rating the key aspects of the smart phone.
  • the weights for each of the ratings derived from the relevancy index or as entered by the each owner could be different on a scale of 1 to 10. This would result in the actual rating derived from the weighted rating module 540 not being 8, on a scale of 1 to 10. Further, the weighted rating module 540 shows statistical data extracted from the smartphones of other owners, like average battery backup time from all owners in the each group, to give the prospective buyer a method to justify the rating, wherever applicable.
  • the weighted rating module 540 ensures that the ratings are calculated based on relevancy. For example, for a owner, who does not use a specific aspect of the smart phone as much as another owner, the weights associated with the specific aspect of the smart phone are not the same, even if though the actual ratings from the owners are same.
  • the weighted rating module 540 derives weights for each key aspect from the relevancy index associated with the each owner. In an embodiment, the weights could be entered by the each owner while rating the key features/aspects of the smart phone.
  • the said weighting rating module is further configured for calculating relevant ratings of said each feature and/or sub-feature based on (i) an actual rating provided by the owner to each feature and/or sub-feature; and (ii) the weight associated to said each feature and/or sub-feature.
  • the said module shows statistical data extracted from the smartphones of other owners, like average battery backup time from all owners in the each group, to give the prospective buyer a method to justify the rating, wherever applicable.
  • the first factor detecting module 550 is configured for identification of one or more first factors, said first factors including: length of time of usage of said one or more feature and/or sub-feature; frequency of usage of said one or more feature and/or sub-feature and context of usage of said one or more feature and/or sub-feature.
  • the said module 550 identifies the relevant scenario when the owner might be willing to share the appropriate rating and feedback for a specific aspect of the product.
  • the said module 550 prompts the relevant owners based on combination of various first factors like length of the time a certain feature of the mobile device was used, frequency of usage of that feature of the mobile device, determining context where possible, related to the usage of that feature and using this context, factoring meta data where applicable.
  • the said module 550 prompts the owner to rate the camera, once the owner has captured images from the camera and then viewed the images in the gallery. Similarly, the owner can be prompted to rate the battery backup, when the owner beings to charge the device or rate the charging time, just after a complete charge.
  • the resolution module 560 is configured for providing means of resolution to the owner if the owner has provided the actual rating lower than a pre-determined rating.
  • the said module 560 is further configured for monitoring, on adoption of said means of resolution by the owner, a performance of the feature and /or sub-feature and/or relevant feature and/or sub-feature.
  • the said resolution module 560 is further configured for prompting, on variation in the performance of said feature and/or sub-feature and/or relevant feature and/or sub-feature, the owner to update the actual rating in relation to said feature and/or sub-feature.
  • the said module 560 is further configured for recording said updated rating in relation to said feature and/or sub-feature.
  • the said module is further configured for: generating a report and transmitting said report to atleast one buyer's device.
  • the said report includes one or more feature and/or sub- features and/or relevant feature and/or sub-features of the product, ratings in relation to said one or more feature and/or sub-features and/or relevant features by atleast one owner, and second information corresponding to said one or more ratings.
  • the said second information relates to justification of ratings and is based on one or more: length of time of usage of said feature and/or sub-feature and/or relevant features and/or sub features, time-period of usage of said one or more feature and/or sub-feature and/or relevant features and/or sub features, frequency of usage of said feature and/or sub- feature and/or relevant features and/or sub features and performance of said feature and/or sub-feature and/or relevant features and/or sub features in one or more conditions.
  • the said second information may be automatically generated by the said module or may be received by the user.
  • Figure 6 illustrates a typical hardware configuration of a server 600, which is representative of a hardware environment for implementing the present invention. As would be understood, the server, as described above, includes the hardware configuration as described below.
  • the server 600 may operate in the capacity of a server or as a client owner computer in a server-client owner network environment, or as a peer computer system in a peer-to-peer (or distributed) network environment.
  • the server can also be implemented as or incorporated into various devices, such as, a tablet, a personal digital assistant (PDA), a palmtop computer, a laptop, a smart phone, a notebook, a smart watch and a communication device.
  • the server 600 may include a processor 601 e.g., a central processing unit (CPU), a graphics processing unit (GPU), or both.
  • the processor 601 may be a component in a variety of systems.
  • the processor 601 may be part of a standard personal computer or a workstation.
  • the processor 601 may be one or more general processors, digital signal processors, application specific integrated circuits, field programmable gate arrays, servers, networks, digital circuits, analog circuits, combinations thereof, or other now known or later developed devices for analysing and processing data.
  • the processor 601 may implement a software program, such as code generated manually (i.e., programmed).
  • the server 600 may include a memory 602 communicating with the processor 601 via a bus 603.
  • the memory 602 may be a main memory, a static memory, or a dynamic memory.
  • the memory 602 may include, but is not limited to computer readable storage media such as various types of volatile and non-volatile storage media, including but not limited to random access memory, read-only memory, programmable read-only memory, electrically programmable read-only memory, electrically erasable read-only memory, flash memory, magnetic tape or disk, optical media and the like.
  • the memory 602 may be an external storage device or database for storing data.
  • Examples include a hard drive, compact disc (“CD”), digital video disc (“DVD”), memory card, memory stick, floppy disc, universal serial bus (“USB”) memory device, or any other device operative to store data.
  • the memory 602 is operable to store instructions executable by the processor 601.
  • the functions, acts or tasks illustrated in the figures or described may be performed by the programmed processor 601 executing the instructions stored in the memory 602.
  • the functions, acts or tasks are independent of the particular type of instructions set, storage media, processor or processing strategy and may be performed by software, hardware, integrated circuits, firm-ware, microcode and the like, operating alone or in combination.
  • processing strategies may include multiprocessing, multitasking, parallel processing and the like.
  • the server 600 may further include a display unit 604, such as a liquid crystal display (LCD), an organic light emitting diode (OLED), a flat panel display, a solid state display, a cathode ray tube (CRT), or other now known or later developed display device for outputting determined information.
  • a display unit 604 such as a liquid crystal display (LCD), an organic light emitting diode (OLED), a flat panel display, a solid state display, a cathode ray tube (CRT), or other now known or later developed display device for outputting determined information.
  • the server 600 may include an input device 605 configured to allow a owner to interact with any of the components of server 600.
  • the input device 605 may be a number pad, a keyboard, a stylus, an electronic pen, or a cursor control device, such as a mouse, or a joystick, touch screen display, remote control or any other device operative to interact with the server 600.
  • the server 600 may also include a disk or optical drive unit 606.
  • the drive unit 606 may include a computer-readable medium 608 in which one or more sets of instructions 608, e.g. software, can be embedded.
  • the instructions 608 may be separately stored in the processor 601 and the memory 602.
  • the server 600 may further be in communication with other device over a network
  • the communication port or interface 610 may be a part of the processor 601 or may be a separate component.
  • the communication port 610 may be created in software or may be a physical connection in hardware.
  • the communication port 610 may be configured to connect with the network 609, external media, the display 604, or any other components in server 600 or combinations thereof.
  • the connection with the network 609 may be a physical connection, such as a wired Ethernet connection or may be established wirelessly as discussed later.
  • the additional connections with other components of the server 600 may be physical connections or may be established wirelessly.
  • the network 609 may alternatively be directly connected to the bus 603.
  • the network 609 may include wired networks, wireless networks, Ethernet AVB networks, or combinations thereof.
  • the wireless network may be a cellular telephone network, an 802.9, 802.16, 802.20, 802.1Q or WiMax network.
  • the network 609 may be a public network, such as the Internet, a private network, such as an intranet, or combinations thereof, and may utilize a variety of networking protocols now available or later developed including, but not limited to TCP/IP based networking protocols.
  • dedicated hardware implementations such as application specific integrated circuits, programmable logic arrays and other hardware devices, can be constructed to implement various parts of the server 600.
  • Applications that may include the systems can broadly include a variety of electronic and computer systems.
  • One or more examples described may implement functions using two or more specific interconnected hardware modules or devices with related control and data signals that can be communicated between and through the modules, or as portions of an application- specific integrated circuit.
  • the present system encompasses software, firmware, and hardware implementations .
  • the server 600 may be implemented by software programs executable by the processor 601.
  • implementations can include distributed processing, component/object distributed processing, and parallel processing.
  • virtual computer system processing can be constructed to implement various parts of the system.
  • the server 600 is not limited to operation with any particular standards and protocols.
  • standards for Internet and other packet switched network transmission e.g., TCP/IP, UDP/IP, HTML, HTTP
  • Such standards are periodically superseded by faster or more efficient equivalents having essentially the same functions. Accordingly, replacement standards and protocols having the same or similar functions as those disclosed are considered equivalents thereof.

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Abstract

La présente invention concerne un système et un procédé de rétroaction et de classement de produits. Dans un mode de réalisation, le procédé consiste à : identifier des propriétaires d'un même produit d'après une première information, ladite première information étant extraite de chaque produit ; et inviter les propriétaires dudit même produit à fournir un classement réel et une rétroaction par rapport à une ou plusieurs caractéristiques et/ou sous-caractéristiques dudit même produit.
PCT/IB2016/051570 2015-03-20 2016-03-21 Système et procédé de rétroaction et de classement de produits Ceased WO2016151470A1 (fr)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018200207A1 (fr) * 2017-04-26 2018-11-01 Google Llc Évaluation et rétroaction d'application

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020035501A1 (en) * 1998-11-12 2002-03-21 Sean Handel A personalized product report

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020035501A1 (en) * 1998-11-12 2002-03-21 Sean Handel A personalized product report

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018200207A1 (fr) * 2017-04-26 2018-11-01 Google Llc Évaluation et rétroaction d'application
US11308531B2 (en) 2017-04-26 2022-04-19 Google Llc Application rating and feedback

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