WO2018095307A1 - 一种评价信息的发布方法及装置 - Google Patents

一种评价信息的发布方法及装置 Download PDF

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Publication number
WO2018095307A1
WO2018095307A1 PCT/CN2017/112064 CN2017112064W WO2018095307A1 WO 2018095307 A1 WO2018095307 A1 WO 2018095307A1 CN 2017112064 W CN2017112064 W CN 2017112064W WO 2018095307 A1 WO2018095307 A1 WO 2018095307A1
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Prior art keywords
category
restaurant
determining
evaluated
determined
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PCT/CN2017/112064
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English (en)
French (fr)
Inventor
范驰
孟超峰
罗晗
隋宜桓
窦方钰
Original Assignee
口碑控股有限公司
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Priority to US16/463,872 priority Critical patent/US20190295136A1/en
Publication of WO2018095307A1 publication Critical patent/WO2018095307A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06Q30/0282—Rating or review of business operators or products
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/12—Hotels or restaurants

Definitions

  • the present application relates to the field of information technology, and in particular, to a method and an apparatus for distributing evaluation information.
  • the release of evaluation information is one of the effective means to solve the above problems.
  • a certain object to be evaluated such as the music, video, e-book, restaurant, etc. mentioned above
  • the user who has used the object to be evaluated is collected and evaluated, and the collected evaluation is used as the evaluation to be evaluated.
  • the evaluation information corresponding to the object is distributed, so that other users can use the evaluation information as a reference basis for judging whether the object to be evaluated matches the needs of the user.
  • These evaluation information can be either textual or numerical.
  • the user can send a rating of "4.5" to the corresponding server of the restaurant, and the server uses the evaluation as the evaluation information of the restaurant and publishes the information. .
  • the embodiment of the present application provides a method and a device for distributing evaluation information, which are used to solve the prior art. Evaluating information publishing methods can cause problems when users search for information they need.
  • a method for publishing evaluation information including:
  • the evaluation information of the object to be evaluated is determined according to the comparison result and is released.
  • a method for publishing evaluation information including:
  • the evaluation information of the restaurant is determined and released according to the comparison result.
  • a device for issuing rating information comprising:
  • the receiving module receives each operation information that carries the identifier of the object to be evaluated
  • Determining a module determining, according to the operation information, a feature value corresponding to the object to be evaluated, and determining, according to the identifier of the object to be evaluated, a category to which the object to be evaluated belongs;
  • Comparing a module determining a comparison value corresponding to the category, and comparing the feature value corresponding to the object to be evaluated and the comparison value; wherein the comparison value is a feature value corresponding to some or all objects in the category definite;
  • the issuing module determines the evaluation information of the object to be evaluated according to the comparison result and publishes the information.
  • a device for issuing rating information comprising:
  • Receiving module receiving each payment information carrying the identifier of the restaurant
  • Determining a module determining, according to each payment information, a feature value corresponding to the restaurant, and determining, according to the identifier of the restaurant, a category to which the restaurant belongs;
  • Comparing a module determining a comparison value corresponding to the category, and comparing the feature value corresponding to the restaurant and the comparison value; wherein the comparison value is determined according to a feature value corresponding to some or all restaurants in the category ;
  • the publishing module determines the evaluation information of the restaurant according to the comparison result and publishes the information.
  • the present application determines the feature value corresponding to the object to be evaluated according to the operation information actually generated by the object to be evaluated, and determines the comparison value corresponding to the category according to the feature value of some or all objects of the same type as the object to be evaluated,
  • the feature values and comparison values in the present application are all determined based on actual operation information, and are not subject to artificial subjective evaluation, and thus are more accurate than the prior art.
  • the evaluation information of the object to be evaluated is determined according to the comparison result of the feature value and the comparison value, and can accurately reflect the level of the object to be evaluated compared to other objects of the same type, and further improve the release of the evaluation information. The accuracy of the user can effectively improve the search convenience when searching for the information required by the user based on the evaluation information published by the present application.
  • FIG. 1 is a process for publishing evaluation information provided by an embodiment of the present application
  • FIG. 3 is a schematic structural diagram of an apparatus for issuing rating information according to an embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of another apparatus for issuing rating information according to an embodiment of the present application.
  • the prior art mostly relies on the user's subjective evaluation of the rating of the object to be evaluated, which not only reduces the accuracy of the evaluation information of the object to be evaluated, but also lacks the horizontal comparison between similar objects. For example, it is also two objects of the same kind that rely on the user's subjective evaluation and get 4.5 points. How do the comparison results of the two objects in this category are better or worse? The prior art is obviously not given. This leads to the fact that the scores of the objects to be evaluated in the prior art are almost meaningless, and it is obviously not convenient for the user to search for the information that they need according to these ratings.
  • the evaluation information issued by the application does not depend on the subjective evaluation of the user, and the feature value corresponding to the object to be evaluated is obtained by the operation information actually generated by the object to be evaluated, and the feature value is corresponding to all or part of the object according to the same type. Comparing the comparison values obtained by the values is equivalent to horizontal comparison between the objects of the same type, and finally obtaining the evaluation information of the object to be evaluated according to the comparison result and publishing, so that the posted evaluation information can more accurately reflect the evaluation to be evaluated.
  • the level of the object in the same kind of object which can improve the convenience of the user to search for the information he needs according to the evaluation information.
  • FIG. 1 is a process for publishing evaluation information provided by an embodiment of the present application, which specifically includes the following steps:
  • S101 Receive each operation information that carries the identifier of the object to be evaluated.
  • the object to be evaluated in the embodiment of the present application is information such as music, video, e-book, restaurant, etc. on the network
  • the information can be operated by the user after being searched by the user. Therefore, in the embodiment of the present application,
  • the operation information of the user to operate the objects to be evaluated may be received by the server that provides the objects to be evaluated, and of course, the user may receive the information from the other server or device. Some operation information to be evaluated by the object to be evaluated.
  • the server when the user views or downloads the video, the server accordingly receives the operation information of the identifier carrying the video.
  • S102 Determine, according to each operation information, a feature value corresponding to the object to be evaluated, and determine, according to the identifier of the object to be evaluated, a category to which the object to be evaluated belongs.
  • the feature value corresponding to the object to be evaluated may be determined according to the preset feature dimension and the received operation information that carries the identifier of the object to be evaluated.
  • the feature dimensions described can be set as needed.
  • the feature dimension can be set as the user's viewing times, viewing time, download times, and the like. Assume that the feature dimension is the number of views, the server can count the number of times the video is viewed according to the operation information after receiving the operation information of the identifier of the video, as the feature value corresponding to the video.
  • the category to which the object to be evaluated belongs may be determined according to the identifier of the object to be evaluated carried in the received operation information.
  • the correspondence between the identifiers and the categories may be preset.
  • the identifiers to be evaluated may be determined according to the correspondences and the identifiers carried in the operation information. category.
  • the server determines that the category to which the video belongs is a funny class according to the identifier of the video and the corresponding correspondence between each identifier and each video category.
  • a certain bit or a certain number of the identifiers may be set as a category code, and after receiving the operation information of the identifier carrying the object to be evaluated through step S101, The category to which the object to be evaluated belongs is determined directly according to the category code included in the identifier carried in the operation information. It should be understood by those skilled in the art that the category to which the object to be evaluated belongs can be determined according to the identifier of the object to be evaluated carried in the operation information, which is not limited in this application.
  • the step of determining the feature value corresponding to the object to be evaluated according to the operation information and the step of determining the category to which the object to be evaluated belongs according to the identifier of the object to be evaluated The execution order is in no particular order, and the eigenvalues may be determined first, or the categories to which the objects to be evaluated belong may be determined first, and of course, they may be executed simultaneously.
  • S103 Determine a comparison value corresponding to the category, and compare the feature value corresponding to the object to be evaluated and the comparison value.
  • the comparison value is determined according to a feature value corresponding to some or all objects in the category to which the object to be evaluated belongs.
  • the comparison value may be determined in advance based on historical feature values of some or all of the objects in the category, or may be determined in real time according to current feature values of some or all of the objects in the category.
  • the comparison value corresponding to the category may be determined according to the feature value corresponding to some or all objects in the category, and a preset algorithm, for example, an arithmetic mean or geometric mean of the feature values corresponding to some or all objects in the category.
  • the value is determined as the comparison value corresponding to the category.
  • the above preset algorithm is not limited in the present application.
  • the attribute of the object to be evaluated may be determined according to the identifier of the object to be evaluated, and the object to be evaluated is selected in the category.
  • the other object whose attribute is the same as the attribute of the object to be evaluated is determined, and the comparison value corresponding to the category is determined according to the determined feature value corresponding to the other object.
  • the attribute may also be set according to requirements. For example, when the object to be evaluated is a video, the attribute may be set as the release time of the video, the duration of the play, and the like.
  • the server may query the play duration of the video according to the identifier of the video. Assume that the duration of the video is 30 to 60 minutes, and in all the videos belonging to the funny class, determine other videos whose playing duration is also 30 to 60 minutes, and then determine according to the determined number of viewings of other videos. The comparison value corresponding to the funny class.
  • S104 Determine evaluation information of the object to be evaluated according to the comparison result and publish the information.
  • the comparison of the categories corresponding to the object to be evaluated is determined by step S103. After the value is compared with the comparison value corresponding to the object to be evaluated, the evaluation information of the object to be evaluated may be determined and released according to the comparison result.
  • the server may determine a score corresponding to the comparison result according to a preset rule, and determine, according to the score, the evaluation information of the object to be evaluated and publish the information.
  • the preset rule may also be set according to requirements. For example, the difference value obtained by subtracting the comparison value may be used to determine the score corresponding to the comparison result. The larger the difference, the higher the score. Or, the larger the difference, the lower the score.
  • the comparison result may be determined according to a preset rule.
  • the score is 7 (out of 10). Subsequently, the score can be directly determined as the evaluation information of the video for publication.
  • the final evaluation information is mainly influenced by the subjective evaluation of the user based on the score corresponding to the above comparison result.
  • the user's score on the object to be evaluated may be determined in history, and the evaluation information of the object to be evaluated is determined according to the preset weight corresponding to the score and the score corresponding to the comparison result.
  • the rule for determining the evaluation information according to the above weight and the score is not limited in this application.
  • the weight corresponding to the preset score of 4.5 points is 5%, and the score corresponding to the above comparison result is 7
  • the score was reduced by 5% by 7 points to obtain a final score of 6.65.
  • the score of 6.65 can be determined as the evaluation information of the video for distribution.
  • the evaluation information obtained in the present application does not depend on the subjective evaluation of the user, and the evaluation object is subjected to horizontal comparison between the same type, and the evaluation information obtained thereby can accurately reflect that the object to be evaluated is in the same category.
  • the level of the evaluation information can be provided to the user, so that the user's convenience in searching for the information required by the user is improved.
  • the server may receive the operation information of the identifier carrying the object to be evaluated sent in the current period according to a preset period, and thus, in step S102, the server may And determining, according to each operation information received in the current period, the feature value of the object to be evaluated, and comparing the feature value determined in the current cycle with the comparison value corresponding to the category to which the object to be evaluated belongs in step S103 Finally, the evaluation information in the current period is obtained. That is, the evaluation information of the object to be evaluated is updated once per cycle.
  • step S103 if the comparison value is determined according to the historical feature value of some or all of the objects to which the object to be evaluated belongs, the server may Determining a historical period corresponding to the current period, and determining a comparison value determined based on the historical period as a comparison value corresponding to the category, wherein the comparison value determined based on the historical period is: according to the historical period The identified feature values corresponding to each object in the category are determined.
  • the video is still to be evaluated as an example. Assume that the preset period is 1 hour, and the current period is 19:00 to 20:00 on November 23, 2016.
  • the server can be based on the preset period. Corresponding relationship, it is determined that the previous day's 19:00 to 20:00 is the historical period corresponding to the current period, that is, the historical period is November 22, 2016, 19:00 to 20:00. Subsequently, the server may determine the average number of views corresponding to the funny video that was previously determined in the historical period (November 22, 2016, 19:00 to 20:00) as the comparison value corresponding to the funny video.
  • the server may also statistically determine the average number of views corresponding to the funny video in the current period (19:00 to 20:00 on November 23, 2016), and record it so as to subsequently determine the average value in the current period.
  • the number of views is used as a comparison value when the evaluation information is updated later.
  • the server may determine the current period according to the operation information that is received in the current period and that carries the identifier of each object in the category.
  • the feature value corresponding to each object in the category determines the comparison value corresponding to the category according to the feature value corresponding to each object in the category in the current period.
  • the server can determine the current period according to the operation information of the identifiers that carry all the funny video received in the current period (19:00 to 20:00) (19:00-20) :00)
  • the number of views corresponding to all funny videos, and the average number of views corresponding to the funny video in the current period (19:00 to 20:00) is determined as the comparison value corresponding to the funny video.
  • the evaluation information publishing method provided by the present application will be described in detail below by taking the evaluation information of the restaurant type information as an example.
  • FIG. 2 is a process for publishing restaurant evaluation information according to an embodiment of the present application, which specifically includes the following steps:
  • S201 Receive payment information of the identifier carrying the restaurant.
  • the frequency of using online payment in a shopping scene in a restaurant, a supermarket, or the like is becoming higher and higher, therefore, in the embodiment of the present application, the user can use the online payment payment in the restaurant.
  • Information to determine and publish evaluation information for the restaurant is becoming higher and higher, therefore, in the embodiment of the present application, the user can use the online payment payment in the restaurant.
  • the payment information carrying the identification of the restaurant is sent to the payment server, and the subsequent steps can be directly performed by the payment server to determine the evaluation information of the restaurant.
  • the payment information received by the payment server can also be obtained by other servers, and the evaluation information of the restaurant is determined by other servers and released, which will not be repeated here.
  • the server (the server referred to below may refer to the payment server that receives the payment information, and may also refer to other servers that obtain the payment information from the payment server) may also be preset.
  • S202 Determine, according to the each payment information, a feature value corresponding to the restaurant, and determine, according to the identifier of the restaurant, a category to which the restaurant belongs.
  • the feature value corresponding to the restaurant may be determined according to the preset feature dimension and the received payment information, and the feature dimension may be set according to requirements, for example, if If the evaluation information to be determined is the popularity value of the restaurant, the characteristic value may be the number of collections (this is because, in general, the more the number of collections, the more users who go to the restaurant to eat, the higher the popularity value. And if the evaluation information to be determined later is the average consumption of the restaurant, the characteristic value may be the payment amount.
  • the server may determine, according to the received payment information of the restaurant that is sent in the current period, that the restaurant is in the current period.
  • the number of collections Specifically, the number of collections of the restaurant in the current period may be counted according to a payment information corresponding to a payment rule.
  • the server also needs to determine the category to which the restaurant belongs according to the identifier of the restaurant carried in the payment information, such as a meal, a fast food, and the like.
  • the method for determining the category of the restaurant according to the identification of the restaurant is similar to the method for determining the category of the object to be evaluated in the first embodiment, and will not be repeated here.
  • S203 Determine a comparison value corresponding to the category, and compare the feature value corresponding to the restaurant and the comparison value; wherein the comparison value is determined according to a feature value corresponding to some or all restaurants in the category.
  • the server may determine a comparison value corresponding to the category according to historical or current feature values of some or all of the restaurants in the category to which the restaurant belongs, and compare the feature values corresponding to the restaurant with the comparison. value.
  • the server may determine the restaurant according to the identification of the restaurant when determining the comparison value corresponding to the category. In the geographical area where the restaurant is located, and other restaurants in the category other than the restaurant, determine other restaurants whose geographical area is the same as the geographical area where the restaurant is located, and then determine the category according to the determined characteristic values of other restaurants. Corresponding comparison value.
  • the server may determine a historical period corresponding to the current period, and based on the average received in the historical period.
  • the number of times of the payment is determined as a comparison value corresponding to the category, wherein the average number of collections determined based on the historical period is determined according to the number of collections corresponding to the restaurants in the category determined in the historical period.
  • the server can determine, according to the correspondence between the preset periods, that the previous day's 12:00 to 13:00 is a historical period corresponding to the current period, that is, the historical period is November 22, 2016. :00 ⁇ 13:00. Subsequently, the server may determine the average number of collections corresponding to the restaurant in the restaurant that was previously determined in the historical period (12:00 to 13:00 on November 22, 2016) as the comparison value corresponding to the restaurant in the restaurant.
  • the server can also statistically determine the average number of collections corresponding to the restaurant in the current period (12:00 to 13:00 on November 23, 2016), and record it so as to subsequently determine the current period.
  • the average number of collections is used as a comparison value when the evaluation information is updated later.
  • the server may determine the category in the current period according to the payment information received in the current period and carrying the identifiers of the restaurants in the category. The number of collections corresponding to each restaurant in the middle, and determining the average number of collections corresponding to the category according to the number of collections corresponding to the restaurants in the category in the current period.
  • the server may According to the payment information of the logos carrying all the restaurants in the current period (12:00 ⁇ 13:00), the number of collections corresponding to all the restaurants in the current period (12:00 ⁇ 13:00) is determined. According to this, the average number of collections corresponding to the restaurant in the current period (12:00 to 13:00) is determined as the comparison value corresponding to the restaurant of the restaurant.
  • S204 Determine evaluation information of the restaurant according to the comparison result and publish the information.
  • the server may also determine, according to the preset rule, the average number of collections corresponding to the restaurant and the average corresponding to the category to which the restaurant belongs.
  • the score corresponding to the comparison result of the number of collections is determined, and the popularity value of the restaurant is determined based on the score as the evaluation information of the restaurant, and is released.
  • the preset rule may be: the difference between the number of collections corresponding to the restaurant minus the average number of collections corresponding to the category to which the restaurant belongs, the ratio The higher the score corresponding to the result, the higher the popularity value of the restaurant.
  • the user's subjective rating of the restaurant may also be considered to determine the popularity value of the restaurant.
  • the server may determine the user's score on the restaurant in history, and determine the popularity value of the restaurant according to the weight corresponding to the preset rating and the score.
  • the number of collections (characteristic value) corresponding to the restaurant in the current period is 7 times, and the average number of collections (comparative value) of the restaurant in the restaurant is 5 times, which can be determined according to preset rules.
  • the score corresponding to the comparison results is 7 points (out of 10 points).
  • the user's rating on the restaurant is 4.5 points (out of 5 points)
  • the score corresponding to the preset score of 4.5 points is 5%
  • the score corresponding to the above comparison result is 7 points.
  • the value of 7 points is reduced by 5%, and the final score is 6.65 points.
  • the score of 6.65 can be determined as the evaluation information of the restaurant to be released.
  • the second embodiment is described by taking the popularity value of the restaurant as the evaluation information as an example.
  • the application scenario of the evaluation information publishing method provided by the present application is not limited thereto, and other exemplary Application scenarios include, but are not limited to, evaluation information that evaluates the average consumption level of a restaurant, evaluation information that evaluates the popularity of music or an e-book or other information, and the like. It is within the scope of the present application to use the above-mentioned evaluation information distribution method provided by the present application in any scenario.
  • the technical carrier involved in the payment in the embodiment of the present application may include, for example, Near Field Communication (NFC), WIFI, 3G/4G/5G, POS card swiping technology, two-dimensional code scanning technology, and barcode scanning code.
  • NFC Near Field Communication
  • WIFI Wireless Fidelity
  • 3G/4G/5G 3G/4G/5G
  • POS card swiping technology 3G/4G/5G
  • POS card swiping technology two-dimensional code scanning technology
  • barcode scanning code e.g., Bluetooth, infrared, Short Message Service (SMS), Multimedia Message Service (MMS), etc.
  • SMS Short Message Service
  • MMS Multimedia Message Service
  • the present application further provides a device for distributing the corresponding evaluation information, as shown in FIG. 3 and FIG. 4 .
  • FIG. 3 is a schematic structural diagram of an apparatus for issuing rating information according to an embodiment of the present disclosure, which specifically includes:
  • the receiving module 301 receives each operation information that carries the identifier of the object to be evaluated;
  • the determining module 302 is configured to determine, according to the operation information, a feature value corresponding to the object to be evaluated, and determine, according to the identifier of the object to be evaluated, a category to which the object to be evaluated belongs;
  • the comparison module 303 determines a comparison value corresponding to the category, and compares the object to be evaluated The feature value and the comparison value; wherein the comparison value is determined according to a feature value corresponding to some or all of the objects in the category;
  • the issuing module 304 determines the evaluation information of the object to be evaluated according to the comparison result and issues the information.
  • the receiving module 301 receives, according to a preset period, each operation information that is sent by the current period and carries the identifier of the object to be evaluated.
  • the determining module 302 determines an attribute of the object to be evaluated according to the identifier of the object to be evaluated, and among other objects in the category other than the object to be evaluated, determining an attribute and the object to be evaluated The other objects having the same attribute determine the comparison value corresponding to the category according to the determined feature values corresponding to the other objects.
  • the determining module 302 determines a historical period corresponding to the current period, and determines a comparison value determined based on the historical period as a comparison value corresponding to the category, where the comparison value is determined based on the historical period. And being determined according to the feature values corresponding to the objects in the category determined in the historical period.
  • the determining module 302 determines the feature value corresponding to each object in the category in the current period according to the operation information that is received in the current period and carries the identifier of each object in the category, according to the category in the current period.
  • the feature value corresponding to each object determines a comparison value corresponding to the category.
  • the issuing module 304 determines a score corresponding to the comparison result according to a preset rule, and determines, according to the score, the evaluation information of the object to be evaluated, and issues the information.
  • the issuing module 304 determines the score of the object to be evaluated by the user in the history, and determines the evaluation information of the object to be evaluated according to the weight corresponding to the preset score and the score.
  • FIG. 4 is a schematic structural diagram of another apparatus for issuing rating information according to an embodiment of the present disclosure, which specifically includes:
  • the receiving module 401 receives each payment information that carries the identifier of the restaurant;
  • the determining module 402 determines, according to the payment information, a feature value corresponding to the restaurant, and determines a category to which the restaurant belongs according to the identifier of the restaurant;
  • Comparing module 403 determining a comparison value corresponding to the category, and comparing characteristics corresponding to the restaurant a value and the comparison value; wherein the comparison value is determined according to a feature value corresponding to some or all of the restaurants in the category;
  • the issuing module 404 determines the evaluation information of the restaurant according to the comparison result and issues the information.
  • the receiving module 401 receives, according to a preset period, each payment information of the identifier of the restaurant that is sent in the current period.
  • the determining module 402 determines, according to the received payment information of the identifier of the restaurant that is sent in the current period, the number of collections of the restaurant in the current period.
  • the determining module 402 determines, according to the identifier of the restaurant, a geographical area where the restaurant is located, and in the categories other than the restaurant, determine a geographical area where the restaurant is located and a geographical area where the restaurant is located.
  • the same other restaurants determine the feature values corresponding to the categories according to the determined feature values corresponding to the other restaurants.
  • the determining module 402 determines a historical period corresponding to the current period, and determines, according to the average number of collections determined in the historical period, a comparison value corresponding to the category, where the determined value is determined based on the historical period.
  • the average number of collections is determined based on the number of collections corresponding to each restaurant in the category determined within the historical period.
  • the determining module 402 determines, according to the payment information that is received in the current period that carries the identifiers of the restaurants in the category, the number of collections corresponding to the restaurants in the category in the current period, according to the category in the current period.
  • the number of collections corresponding to each restaurant in the restaurant determines the average number of collections corresponding to the category.
  • the issuing module 404 determines a score corresponding to the comparison result according to a preset rule, and determines a popularity value of the restaurant according to the score as the evaluation information of the restaurant, and issues the same.
  • the publishing module 404 determines a score of the user in the history, and determines a popularity value of the restaurant according to a preset weight corresponding to the rating and the score.
  • PLD Programmable Logic Device
  • FPGA Field Programmable Gate Array
  • HDL Hardware Description Language
  • the controller can be implemented in any suitable manner, for example, the controller can take the form of, for example, a microprocessor or processor and a computer readable medium storing computer readable program code (eg, software or firmware) executable by the (micro)processor.
  • computer readable program code eg, software or firmware
  • examples of controllers include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, The Microchip PIC18F26K20 and the Silicone Labs C8051F320, the memory controller can also be implemented as part of the memory's control logic.
  • the controller can be logically programmed to implement the same functions in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, and embedded microcontrollers.
  • a controller can therefore be considered a hardware component, and the means for implementing various functions included therein can also be considered as a structure within the hardware component.
  • a device for implementing various functions can be considered as a software module that can be both a method of implementation and a structure within a hardware component.
  • the system, device, module or unit illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product having a certain function.
  • a typical implementation device is a computer.
  • the computer can be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or A combination of any of these devices.
  • embodiments of the present invention can be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or a combination of software and hardware. Moreover, the invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.
  • computer-usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.
  • These computer program instructions can also be stored in a bootable computer or other programmable data processing device.
  • a computer readable memory that operates in a particular manner, causing instructions stored in the computer readable memory to produce an article of manufacture comprising an instruction device implemented in one or more flows and/or block diagrams of the flowchart The function specified in the box or in multiple boxes.
  • a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
  • processors CPUs
  • input/output interfaces network interfaces
  • memory volatile and non-volatile memory
  • the memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory in a computer readable medium, such as read only memory (ROM) or flash memory.
  • RAM random access memory
  • ROM read only memory
  • Memory is an example of a computer readable medium.
  • Computer readable media includes both permanent and non-persistent, removable and non-removable media.
  • Information storage can be implemented by any method or technology.
  • the information can be computer readable instructions, data structures, modules of programs, or other data.
  • Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory. (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape storage or other magnetic storage devices or any other non-transportable media can be used to store information that can be accessed by a computing device.
  • computer readable media does not include temporary storage of computer readable media, such as modulated data signals and carrier waves.
  • embodiments of the present application can be provided as a method, system, or computer program product.
  • the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment in combination of software and hardware.
  • the application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.
  • the application can be described in the general context of computer-executable instructions executed by a computer, such as a program module.
  • program modules include routines, programs, objects, components, data structures, and the like that perform particular tasks or implement particular abstract data types.
  • the present application can also be practiced in distributed computing environments where tasks are performed by remote processing devices that are connected through a communication network.
  • program modules can be located in both local and remote computer storage media including storage devices.

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Abstract

一种评价信息的发布方法及装置，根据待评价对象实际发生的操作信息，确定出该待评价对象对应的特征值，并根据与该待评价对象同类的部分或全部对象的特征值，确定出该类别对应的比较值，其中的特征值和比较值均是根据实际发生的操作信息确定的，不依赖于人为的主观评价，并且该待评价对象的评价信息是根据该特征值与该比较值的比较结果确定的，可以准确地反映出该待评价对象相比于同类的其他对象的水平，也进一步提高了发布评价信息的准确性，用户在基于通过评价信息搜索自身所需的信息时，可有效提高其搜索的便利性。

Description

一种评价信息的发布方法及装置 技术领域
本申请涉及信息技术领域，尤其涉及一种评价信息的发布方法及装置。
背景技术
随着互联网的普及和发展，人们已经越来越习惯于在网络上搜寻自己所需的信息，如：音乐、视频、电子书、餐馆等。而在海量信息充斥于互联网的如今，如何使用户在纷繁驳杂的网络环境中快速便捷的寻找到自己所需的信息，成为一个亟待解决的问题。
评价信息的发布正是解决上述问题的有效手段之一。一般的，可针对某个待评价对象(如上述的音乐、视频、电子书、餐馆等)，收集使用过该待评价对象的用户对其进行的评价，并将收集到的评价作为该待评价对象对应的评价信息进行发布，以便于其他用户将该评价信息作为判断该待评价对象是否与自身需求相符的参考依据。这些评价信息既可以是文字形式的，也可以数值形式的。
例如，对于网络上的一个餐馆信息，用户A在该餐馆就餐后，可将其对该餐馆的数值形式评分“4.5”发送给相应的服务器，服务器则将这些评价作为该餐馆的评价信息并发布。
然而，现有技术中的上述方法主要依赖于用户的主观评价，并不能准确的反映待评价对象的客观真实情况，参考价值并不高，导致其他用户根据这些评价信息仍然不便于搜寻自身所需的信息。
发明内容
本申请实施例提供一种评价信息的发布方法及装置，用于解决现有技术的 评价信息发布方法会导致用户搜索自身所需信息时不便利的问题。
本申请实施例采用下述技术方案：
一种评价信息的发布方法，包括：
接收携带待评价对象的标识的各操作信息；
根据所述各操作信息，确定所述待评价对象对应的特征值，并根据所述待评价对象的标识，确定所述待评价对象所属的类别；
确定所述类别对应的比较值，并比较所述待评价对象对应的特征值以及所述比较值；其中，所述比较值是根据所述类别中的部分或全部对象对应的特征值确定的；
根据比较结果确定所述待评价对象的评价信息并发布。
一种评价信息的发布方法，包括：
接收携带餐馆的标识的各支付信息；
根据所述各支付信息，确定所述餐馆对应的特征值，并根据所述餐馆的标识，确定所述餐馆所属的类别；
确定所述类别对应的比较值，并比较所述餐馆对应的特征值以及所述比较值；其中，所述比较值是根据所述类别中的部分或全部餐馆对应的特征值确定的；
根据比较结果确定所述餐馆的评价信息并发布。
一种评价信息的发布装置，包括：
接收模块，接收携带待评价对象的标识的各操作信息；
确定模块，根据所述各操作信息，确定所述待评价对象对应的特征值，并根据所述待评价对象的标识，确定所述待评价对象所属的类别；
比较模块，确定所述类别对应的比较值，并比较所述待评价对象对应的特征值以及所述比较值；其中，所述比较值是根据所述类别中的部分或全部对象对应的特征值确定的；
发布模块，根据比较结果确定所述待评价对象的评价信息并发布。
一种评价信息的发布装置，包括：
接收模块，接收携带餐馆的标识的各支付信息；
确定模块，根据所述各支付信息，确定所述餐馆对应的特征值，并根据所述餐馆的标识，确定所述餐馆所属的类别；
比较模块，确定所述类别对应的比较值，并比较所述餐馆对应的特征值以及所述比较值；其中，所述比较值是根据所述类别中的部分或全部餐馆对应的特征值确定的；
发布模块，根据比较结果确定所述餐馆的评价信息并发布。
本申请根据待评价对象实际发生的操作信息，确定出该待评价对象对应的特征值，并根据与该待评价对象同类的部分或全部对象的特征值，确定出该类别对应的比较值，由于本申请中的特征值和比较值均是根据实际发生的操作信息确定的，不依赖于人为的主观评价，因此相比于现有技术更为准确。并且，该待评价对象的评价信息是根据该特征值与该比较值的比较结果确定的，可以准确的反映出该待评价对象相比于同类的其他对象的水平，也进一步提高了发布评价信息的准确性，用户在基于通过本申请发布的评价信息搜索自身所需的信息时，可有效提高其搜索的便利性。
附图说明
此处所说明的附图用来提供对本申请的进一步理解，构成本申请的一部分，本申请的示意性实施例及其说明用于解释本申请，并不构成对本申请的不当限定。在附图中：
图1为本申请实施例提供的评价信息的发布过程；
图2为本申请实施例提供的餐馆评价信息的发布过程；
图3为本申请实施例提供的评价信息的发布装置结构示意图；
图4为本申请实施例提供的另一种评价信息的发布装置结构示意图。
具体实施方式
由现有技术可知，现有技术大多依赖于用户基于主观评价对待评价对象进行的评分，这不仅会降低待评价对象的评价信息的准确性，而且也缺少了同类对象之间的横向比较。例如，同样是依赖于用户主观评价而得到4.5分的两个同类的对象，这两个对象在该类别中的比较结果究竟孰优孰劣呢？现有技术显然无法给出。这就导致现有技术中对各待评价对象的评分几乎失去了意义，用户根据这些评分显然不便于搜索自己所需的信息。
而本申请发布的评价信息不依赖于用户的主观评价，通过对待评价对象实际发生的操作信息得到该待评价对象对应的特征值，并将该特征值与根据同类的全部或部分对象对应的特征值得到的比较值进行比较，相当于在同类的各对象之间进行横向比较，最终根据比较结果得到该待评价对象的评价信息并发布，可以使发布的评价信息更加准确的反映出该待评价对象在同类对象中所处的水平，从而可以提高用户根据评价信息搜索自己所需信息的便利性。
为使本申请的目的、技术方案和优点更加清楚，下面将结合本申请具体实施例及相应的附图对本申请技术方案进行清楚、完整地描述。显然，所描述的实施例仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
以下结合附图，详细说明本申请各实施例提供的技术方案。
实施例一
图1为本申请实施例提供的评价信息的发布过程，具体包括以下步骤：
S101：接收携带待评价对象的标识的各操作信息。
由于本申请实施例中所述的待评价对象就是网络上诸如音乐、视频、电子书、餐馆等信息，因此，这些信息被用户搜索到后，均可被用户操作，因此，在本申请实施例中，可由提供这些待评价对象的服务器来接收用户对这些待评价对象进行操作的操作信息，当然，也可由其他服务器或设备来接收用户对这 些待评价对象进行操作的操作信息。
例如，假设待评价对象为网络上的视频，则当用户观看或下载该视频时，服务器则会相应接收到携带该视频的标识的操作信息。
S102：根据各操作信息，确定该待评价对象对应的特征值，并根据该待评价对象的标识，确定该待评价对象所属的类别。
在本申请实施例中，可根据预设的特征维度以及接收到的携带该待评价对象的标识的操作信息，确定该待评价对象对应的特征值。所述的特征维度可根据需要进行设定。
继续沿用上例，对于网络上的视频，则可设定特征维度为用户的观看次数、观看时长、下载次数等。假设特征维度为观看次数，则服务器在接收到携带该视频的标识的各操作信息后，可根据各操作信息，统计出该视频被观看的次数，作为该视频对应的特征值。
另外，由于后续还需将该待评价对象的特征值与同类的其他对象进行比较，因此，还需要确定该待评价对象所属的类别。本申请中可根据接收到的操作信息中携带的该待评价对象的标识确定该待评价对象所属的类别。
具体的，可预设各标识与类别的对应关系，当通过步骤S101接收到携带待评价对象的标识的操作信息后，可根据该对应关系以及操作信息中携带的标识，确定待评价对象所属的类别。继续沿用上例，服务器接收到携带视频的标识的操作信息后，可根据该视频的标识以及预设的各标识与各视频类别的对应关系，确定该视频所属的类别为搞笑类。
当然，也可在预先为各待评价对象分配标识时，将标识中的某一位或某几位设置成类别代码，则通过步骤S101接收到携带待评价对象的标识的操作信息后，则可直接根据操作信息携带的标识中包含的类别代码，确定该待评价对象所属的类别。本领域技术人员应该可以理解，只要能够根据操作信息中携带的待评价对象的标识，确定出待评价对象所属的类别即可，本申请对此不做限定。
另外，需要说明的是，本申请实施例中服务器接收到各操作信息后，根据操作信息确定待评价对象对应的特征值的步骤与根据待评价对象的标识确定待评价对象所属的类别的步骤的执行顺序不分先后，可先确定特征值，也可先确定待评价对象所属的类别，当然也可同步执行。
S103：确定该类别对应的比较值，并比较该待评价对象对应的特征值以及该比较值。
在本申请实施例中，所述的比较值是根据该待评价对象所属的类别中的部分或全部对象对应的特征值确定的。该比较值既可以是预先根据该类别中的部分或全部对象在历史上的特征值而确定的，也可以是实时的根据该类别中的部分或全部对象当前的特征值而确定的。具体可根据该类别中部分或全部对象对应的特征值以及预设的算法，来确定该类别对应的比较值，如，将该类别中部分或全部对象对应的特征值的算术平均值或几何平均值确定为该类别对应的比较值。本申请中对上述预设的算法不作限定。
进一步的，为了使后续得到的评价信息更为准确，本申请中在确定比较值时，还可根据该待评价对象的标识，确定该待评价对象的属性，在该类别中除该待评价对象以外的其他对象中，确定属性与该待评价对象的属性相同的其他对象，根据确定出的其他对象对应的特征值，确定该类别对应的比较值。其中，所述的属性也可根据需要自行设定，如，当待评价对象为视频时，该属性可以设定为视频的发布时间、播放时长等。
继续沿用上例，在步骤S102中确定出视频所属的类别为搞笑类后，服务器可根据该视频的标识，查询该视频的播放时长。假设查询到该视频的播放时长为30～60分钟，则在所有属于搞笑类的视频中，确定播放时长同样为30～60分钟的其他视频，再根据确定出的其他视频对应的观看次数，确定该搞笑类对应的比较值。
S104：根据比较结果确定该待评价对象的评价信息并发布。
在本申请中，通过步骤S103确定出该待评价对象所属的类别对应的比较 值，并将该待评价对象对应的特征值与该比较值进行比较后，则可根据比较结果确定该待评价对象的评价信息并发布。
具体的，服务器可根据预设的规则，确定该比较结果对应的分值，并根据该分值来确定该待评价对象的评价信息并发布。该预设的规则同样可根据需要进行设定，如，可根据该特征值减该比较值得到的差值，来确定该比较结果对应的分值，差值越大，则分值越高，或者，差值越大，则分值越低。
继续沿用上例，假设该视频对应的观看次数(特征值)为700次，而搞笑类视频的平均观看次数(比较值)为500次，则可根据预设的规则，确定二者比较结果对应的分值为7分(满分为10分)。后续可直接将该分值确定为该视频的评价信息进行发布。
进一步的，考虑在实际应用场景中，虽然用户的主观评价准确性较低，但或多或少仍有一些参考意义，因此，本申请实施例中，在确定待评价对象的评价信息时，可主要基于上述比较结果对应的分值，辅以考虑用户的主观评价来影响最终的评价信息。具体的，可确定历史上用户对该待评价对象的评分，并根据预设的该评分对应的权重和比较结果对应的分值，确定该待评价对象的评价信息。具体根据上述权重和分值确定评价信息的规则，本申请不做限定。
继续沿用上例，假设历史上用户对该视频的评分为4.5分(满分为5分)，则可根据预设的该4.5分的评分对应的权重5％，和上述比较结果对应的分值7分，将该分值7分减少5％，得到最终的分值为6.65分。最终可将该分值6.65分确定为该视频的评价信息进行发布。
由上述过程可见，本申请中得到的评价信息不依赖于用户的主观评价，而且对待评价对象进行了同类之间的横向比较，据此得到的评价信息可准确的反映出该待评价对象在同类中所处的水平，相比于现有技术，可为用户提供更具参考价值的评价信息，从而使用户搜索自身所需信息的便利性得到提高。
另外，在现有技术中，由于对待评价对象的评价信息只有在收集到用户的主观评价后才会更新，因此，现有技术中的评价信息也相对之后，实时性较低。 为了提高评价信息的实时性，在上述步骤S101中，服务器可按照预设的周期，接收当前周期内发来的携带待评价对象的标识的各操作信息，从而，在步骤S102中，服务器可根据在当前周期内接收到的各操作信息，确定该待评价对象的特征值，并在步骤S103中，将在当前周期内确定出的特征值与该待评价对象所属的类别对应的比较值进行比较，最终得到当前周期内的评价信息。也即，每个周期都会更新一次该待评价对象的评价信息。
进一步的，当服务器周期性的更新待评价对象的评价信息时，在步骤S103中，如果根据该待评价对象所属的类别中部分或全部对象在历史上的特征值来确定比较值，则服务器可确定与当前周期对应的历史周期，并将基于该历史周期内确定出的比较值确定为该类别对应的比较值，其中，基于该历史周期内确定出的比较值为：根据在该历史周期内确定出的该类别中各对象对应的特征值确定的。
仍以待评价对象为视频为例进行说明，假设预设的周期为1个小时，当前周期为2016年11月23日19:00～20:00，则服务器可根据预设的周期之间的对应关系，确定出前一天的19:00～20:00为与当前周期对应的历史周期，即，历史周期为2016年11月22日19:00～20:00。后续的，服务器可将之前在该历史周期(2016年11月22日19:00～20:00)内确定出的搞笑类视频对应的平均观看次数确定为该搞笑类视频对应的比较值。另外，服务器也可统计确定出当前周期(2016年11月23日19:00～20:00)内该搞笑类视频对应的平均观看次数，并记录，以便后续将该当前周期内确定出的平均观看次数作为后续更新评价信息时的比较值使用。
如果根据该待评价对象所属的类别中部分或全部对象当前的特征值来确定比较值，则服务器可根据在当前周期内接收到的携带该类别中各对象的标识的操作信息，确定当前周期内该类别中各对象对应的特征值，根据当前周期内该类别中各对象对应的特征值，确定该类别对应的比较值。
仍以待评价对象为视频为例进行说明，假设预设的周期为1个小时，当前 周期为19:00～20:00，则服务器可根据在当前周期(19:00～20:00)内接收到的携带所有搞笑类视频的标识的操作信息，确定当前周期(19:00～20:00)内所有搞笑类视频对应的观看次数，并据此确定当前周期内(19:00～20:00)搞笑类视频对应的平均观看次数，作为搞笑类视频对应的比较值。
实施例二
下面以发布餐馆类信息的评价信息为例，详细说明本申请提供的评价信息发布方法。
图2为本申请实施例提供的餐馆评价信息的发布过程，具体包括以下步骤：
S201：接收携带餐馆的标识的各支付信息。
考虑到在实际应用场景中，在餐馆、超市等线下购物场景中使用线上支付的频率越来越高，因此，在本申请实施例中，可通过用户在餐馆中使用线上支付的支付信息来确定并发布该餐馆的评价信息。
具体的，当用户在餐馆中使用线上支付结账时，携带该餐馆的标识的支付信息会被发送到支付服务器，后续则可直接由该支付服务器执行后续步骤，以确定出该餐馆的评价信息并发布，也可由其他服务器获取该支付服务器接收到的各支付信息，并由其他服务器确定出该餐馆的评价信息并发布，这里就不再一一赘述。
另外，与上述实施例一类似的，服务器(下面所称的服务器均可指代接收到支付信息的支付服务器，也可指代从支付服务器中获取到支付信息的其他服务器)也可按照预设的周期，接收当前周期内发来的携带该餐馆的标识的各支付信息。
S202：根据所述各支付信息，确定所述餐馆对应的特征值，并根据所述餐馆的标识，确定所述餐馆所属的类别。
在本申请实施例中，可根据预设的特征维度以及接收到的各支付信息，来确定该餐馆对应的特征值，该特征维度可根据需要进行设定，例如，如果后续 要确定的评价信息为该餐馆的人气值，则该特征值可以是收款次数(这是由于一般情况下，收款次数越多说明到该餐馆就餐的用户越多，人气值也就越高)，如果后续要确定的评价信息为该餐馆的平均消费，则该特征值可以是支付金额。
下面仅以后续要确定的评价信息为该餐馆的人气值为例进行说明，则服务器可根据接收到的当前周期内发来的携带该餐馆的标识的各支付信息，确定该餐馆在当前周期内的收款次数。具体的，可根据一个支付信息对应一次收款的规则，统计该餐馆在当前周期内的收款次数。
另外，服务器还需要根据支付信息中携带的该餐馆的标识，确定该餐馆所属的类别，如，正餐类、快餐类等。具体根据餐馆的标识确定餐馆所属类别的方法与实施例一中确定待评价对象所属类别的方法类似，这里就不再一一赘述。
S203：确定所述类别对应的比较值，并比较所述餐馆对应的特征值以及所述比较值；其中，所述比较值是根据所述类别中的部分或全部餐馆对应的特征值确定的。
在本申请实施例中，服务器可根据该餐馆所属的类别中的部分或全部餐馆在历史上或当前的特征值，确定出该类别对应的比较值，再比较该餐馆对应的特征值与该比较值。
考虑到不同地理区域内的餐馆的人气可能有所差别，因此，为了进一步提高后续发布的评价信息的准确性，在确定该类别对应的比较值时，服务器可根据该餐馆的标识，确定该餐馆所在的地理区域，并在该类别中除该餐馆以外的其他餐馆中，确定所在地理区域与该餐馆所在的地理区域相同的其他餐馆，再根据确定出的其他餐馆对应的特征值，确定该类别对应的比较值。
具体的，若根据该餐馆所属的类别中部分或全部餐馆在历史上的特征值来确定比较值，则服务器可确定与当前周期对应的历史周期，并将基于该历史周期内确定出的平均收款次数确定为该类别对应的比较值，其中，基于该历史周期内确定出的平均收款次数为：根据在该历史周期内确定出的该类别中各餐馆对应的收款次数确定的。
例如，假设步骤S101中接收到的支付信息中携带的餐馆的标识对应的餐馆所属的类别为正餐类，预设的周期为1个小时，当前周期为2016年11月23日12:00～13:00，则：服务器可根据预设的周期之间的对应关系，确定出前一天的12:00～13:00为与当前周期对应的历史周期，即，历史周期为2016年11月22日12:00～13:00。后续的，服务器可将之前在该历史周期(2016年11月22日12:00～13:00)内确定出的正餐类餐馆对应的平均收款次数确定为该正餐类餐馆对应的比较值。另外，服务器也可统计确定出当前周期(2016年11月23日12:00～13:00)内该正餐类餐馆对应的平均收款次数，并记录，以便后续将该当前周期内确定出的平均收款次数作为后续更新评价信息时的比较值使用。
若根据该餐馆所属的类别中部分或全部餐馆当前的特征值来确定比较值，则服务器可根据在当前周期内接收到的携带该类别中各餐馆的标识的支付信息，确定当前周期内该类别中各餐馆对应的收款次数，并根据当前周期内该类别中各餐馆对应的收款次数，确定该类别对应的平均收款次数。
例如，假设步骤S101中接收到的支付信息中携带的餐馆的标识对应的餐馆所属的类别为正餐类，预设的周期为1个小时，当前周期为12:00～13:00，则服务器可根据在当前周期(12:00～13:00)内接收到的携带所有正餐类餐馆的标识的支付信息，确定当前周期(12:00～13:00)内所有正餐类餐馆对应的收款次数，并据此确定当前周期内(12:00～13:00)正餐类餐馆对应的平均收款次数，作为正餐类餐馆对应的比较值。
S204：根据比较结果确定所述餐馆的评价信息并发布。
与实施例一中确定待评价对象的评价信息的方法类似的，在本申请实施例中，服务器也可根据预设的规则，确定该餐馆对应的收款次数与该餐馆所属的类别对应的平均收款次数的比较结果对应的分值，再根据该分值确定该餐馆的人气值，作为该餐馆的评价信息，并发布。其中，该预设的规则可以是：该餐馆对应的收款次数减该餐馆所属的类别对应的平均收款次数的差值越大，该比 较结果对应的分值越高，说明该餐馆的人气值越高。
进一步的，与实施例一类似的，也可考虑用户对该餐馆的主观评分，来确定该餐馆的人气值。具体的，服务器可确定历史上用户对该餐馆的评分，并根据预设的评分对应的权重和该分值，确定该餐馆的人气值。
继续沿用上例，假设当前周期内该餐馆对应的收款次数(特征值)为7次，而正餐类餐馆的平均收款次数(比较值)为5次，则可根据预设的规则，确定二者比较结果对应的分值为7分(满分为10分)。假设历史上用户对该餐馆的评分为4.5分(满分为5分)，则可根据预设的该4.5分的评分对应的权重5％，和上述比较结果对应的分值7分，将该分值7分减少5％，得到最终的分值为6.65分。最终可将该分值6.65分确定为该餐馆的评价信息进行发布。
本领域技术人员应该可以理解，上述实施例二是仅以将餐馆的人气值作为评价信息为例进行说明的，但本申请提供的评价信息发布方法的应用场景并不仅限于此，其他示例性的应用场景包括但不限于：评价餐馆的平均消费高低的评价信息、评价音乐或电子书或其他信息的热度高低的评价信息等。在任何场景中使用本申请提供的上述评价信息发布方法均在本申请的保护范围之内。
本申请实施例中所述支付涉及的技术载体，例如可以包括近场通信(Near Field Communication，NFC)、WIFI、3G/4G/5G、POS机刷卡技术、二维码扫码技术、条形码扫码技术、蓝牙、红外、短消息(Short Message Service，SMS)、多媒体消息(Multimedia Message Service，MMS)等。
以上为本申请实施例提供的评价信息的发布方法，基于同样的思路，本申请还提供了相应的评价信息的发布装置，如图3、图4所示。
图3为本申请实施例提供的评价信息的发布装置结构示意图，具体包括：
接收模块301，接收携带待评价对象的标识的各操作信息；
确定模块302，根据所述各操作信息，确定所述待评价对象对应的特征值，并根据所述待评价对象的标识，确定所述待评价对象所属的类别；
比较模块303，确定所述类别对应的比较值，并比较所述待评价对象对应 的特征值以及所述比较值；其中，所述比较值是根据所述类别中的部分或全部对象对应的特征值确定的；
发布模块304，根据比较结果确定所述待评价对象的评价信息并发布。
所述接收模块301，按照预设的周期，接收当前周期内发来的携带待评价对象的标识的各操作信息。
所述确定模块302，根据所述待评价对象的标识，确定所述待评价对象的属性，在所述类别中除所述待评价对象以外的其他对象中，确定属性与所述待评价对象的属性相同的其他对象，根据确定出的其他对象对应的特征值，确定所述类别对应的比较值。
所述确定模块302，确定与当前周期对应的历史周期，将基于所述历史周期内确定出的比较值确定为所述类别对应的比较值，其中，基于所述历史周期内确定出的比较值为：根据在所述历史周期内确定出的所述类别中各对象对应的特征值确定的。
所述确定模块302，根据在当前周期内接收到的携带所述类别中各对象的标识的操作信息，确定当前周期内所述类别中各对象对应的特征值，根据当前周期内所述类别中各对象对应的特征值，确定所述类别对应的比较值。
所述发布模块304，根据预设的规则，确定所述比较结果对应的分值，根据所述分值确定所述待评价对象的评价信息，并发布。
所述发布模块304，确定历史上用户对所述待评价对象的评分，根据预设的所述评分对应的权重和所述分值，确定所述待评价对象的评价信息。
图4为本申请实施例提供的另一种评价信息的发布装置结构示意图，具体包括：
接收模块401，接收携带餐馆的标识的各支付信息；
确定模块402，根据所述各支付信息，确定所述餐馆对应的特征值，并根据所述餐馆的标识，确定所述餐馆所属的类别；
比较模块403，确定所述类别对应的比较值，并比较所述餐馆对应的特征 值以及所述比较值；其中，所述比较值是根据所述类别中的部分或全部餐馆对应的特征值确定的；
发布模块404，根据比较结果确定所述餐馆的评价信息并发布。
所述接收模块401，按照预设的周期，接收当前周期内发来的携带餐馆的标识的各支付信息。
所述确定模块402，根据接收到的当前周期内发来的携带餐馆的标识的各支付信息，确定所述餐馆在当前周期内的收款次数。
所述确定模块402，根据所述餐馆的标识，确定所述餐馆所在的地理区域，在所述类别中除所述餐馆以外的其他餐馆中，确定所在的地理区域与所述餐馆所在的地理区域相同的其他餐馆，根据确定出的其他餐馆对应的特征值，确定所述类别对应的特征值。
所述确定模块402，确定与当前周期对应的历史周期，将基于所述历史周期内确定出的平均收款次数确定为所述类别对应的比较值，其中，基于所述历史周期内确定出的平均收款次数为：根据在所述历史周期内确定出的所述类别中各餐馆对应的收款次数确定的。
所述确定模块402，根据在当前周期内接收到的携带所述类别中各餐馆的标识的支付信息，确定当前周期内所述类别中各餐馆对应的收款次数，根据当前周期内所述类别中各餐馆对应的收款次数，确定所述类别对应的平均收款次数。
所述发布模块404，根据预设的规则，确定所述比较结果对应的分值，根据所述分值确定所述餐馆的人气值，作为所述餐馆的评价信息，并发布。
所述发布模块404，确定历史上用户对所述餐馆的评分，根据预设的所述评分对应的权重和所述分值，确定所述餐馆的人气值。
在20世纪90年代，对于一个技术的改进可以很明显地区分是硬件上的改进(例如，对二极管、晶体管、开关等电路结构的改进)还是软件上的改进(对于方法流程的改进)。然而，随着技术的发展，当今的很多方法流程的改进已 经可以视为硬件电路结构的直接改进。设计人员几乎都通过将改进的方法流程编程到硬件电路中来得到相应的硬件电路结构。因此，不能说一个方法流程的改进就不能用硬件实体模块来实现。例如，可编程逻辑器件(Programmable Logic Device,PLD)(例如现场可编程门阵列(Field Programmable Gate Array，FPGA))就是这样一种集成电路，其逻辑功能由用户对器件编程来确定。由设计人员自行编程来把一个数字系统“集成”在一片PLD上，而不需要请芯片制造厂商来设计和制作专用的集成电路芯片。而且，如今，取代手工地制作集成电路芯片，这种编程也多半改用“逻辑编译器(logic compiler)”软件来实现，它与程序开发撰写时所用的软件编译器相类似，而要编译之前的原始代码也得用特定的编程语言来撰写，此称之为硬件描述语言(Hardware Description Language，HDL)，而HDL也并非仅有一种，而是有许多种，如ABEL(Advanced Boolean Expression Language)、AHDL(Altera Hardware Description Language)、Confluence、CUPL(Cornell University Programming Language)、HDCal、JHDL(Java Hardware Description Language)、Lava、Lola、MyHDL、PALASM、RHDL(Ruby Hardware Description Language)等，目前最普遍使用的是VHDL(Very-High-Speed Integrated Circuit Hardware Description Language)与Verilog。本领域技术人员也应该清楚，只需要将方法流程用上述几种硬件描述语言稍作逻辑编程并编程到集成电路中，就可以很容易得到实现该逻辑方法流程的硬件电路。
控制器可以按任何适当的方式实现，例如，控制器可以采取例如微处理器或处理器以及存储可由该(微)处理器执行的计算机可读程序代码(例如软件或固件)的计算机可读介质、逻辑门、开关、专用集成电路(Application Specific Integrated Circuit，ASIC)、可编程逻辑控制器和嵌入微控制器的形式，控制器的例子包括但不限于以下微控制器：ARC 625D、Atmel AT91SAM、Microchip PIC18F26K20以及Silicone Labs C8051F320，存储器控制器还可以被实现为存储器的控制逻辑的一部分。本领域技术人员也知道，除了以纯计算机可读程序 代码方式实现控制器以外，完全可以通过将方法步骤进行逻辑编程来使得控制器以逻辑门、开关、专用集成电路、可编程逻辑控制器和嵌入微控制器等的形式来实现相同功能。因此这种控制器可以被认为是一种硬件部件，而对其内包括的用于实现各种功能的装置也可以视为硬件部件内的结构。或者甚至，可以将用于实现各种功能的装置视为既可以是实现方法的软件模块又可以是硬件部件内的结构。
上述实施例阐明的系统、装置、模块或单元，具体可以由计算机芯片或实体实现，或者由具有某种功能的产品来实现。一种典型的实现设备为计算机。具体的，计算机例如可以为个人计算机、膝上型计算机、蜂窝电话、相机电话、智能电话、个人数字助理、媒体播放器、导航设备、电子邮件设备、游戏控制台、平板计算机、可穿戴设备或者这些设备中的任何设备的组合。
为了描述的方便，描述以上装置时以功能分为各种单元分别描述。当然，在实施本申请时可以把各单元的功能在同一个或多个软件和/或硬件中实现。
本领域内的技术人员应明白，本发明的实施例可提供为方法、系统、或计算机程序产品。因此，本发明可采用完全硬件实施例、完全软件实施例、或结合软件和硬件方面的实施例的形式。而且，本发明可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
本发明是参照根据本发明实施例的方法、设备(系统)、和计算机程序产品的流程图和/或方框图来描述的。应理解可由计算机程序指令实现流程图和/或方框图中的每一流程和/或方框、以及流程图和/或方框图中的流程和/或方框的结合。可提供这些计算机程序指令到通用计算机、专用计算机、嵌入式处理机或其他可编程数据处理设备的处理器以产生一个机器，使得通过计算机或其他可编程数据处理设备的处理器执行的指令产生用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的装置。
这些计算机程序指令也可存储在能引导计算机或其他可编程数据处理设 备以特定方式工作的计算机可读存储器中，使得存储在该计算机可读存储器中的指令产生包括指令装置的制造品，该指令装置实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能。
这些计算机程序指令也可装载到计算机或其他可编程数据处理设备上，使得在计算机或其他可编程设备上执行一系列操作步骤以产生计算机实现的处理，从而在计算机或其他可编程设备上执行的指令提供用于实现在流程图一个流程或多个流程和/或方框图一个方框或多个方框中指定的功能的步骤。
在一个典型的配置中，计算设备包括一个或多个处理器(CPU)、输入/输出接口、网络接口和内存。
内存可能包括计算机可读介质中的非永久性存储器，随机存取存储器(RAM)和/或非易失性内存等形式，如只读存储器(ROM)或闪存(flash RAM)。内存是计算机可读介质的示例。
计算机可读介质包括永久性和非永久性、可移动和非可移动媒体可以由任何方法或技术来实现信息存储。信息可以是计算机可读指令、数据结构、程序的模块或其他数据。计算机的存储介质的例子包括，但不限于相变内存(PRAM)、静态随机存取存储器(SRAM)、动态随机存取存储器(DRAM)、其他类型的随机存取存储器(RAM)、只读存储器(ROM)、电可擦除可编程只读存储器(EEPROM)、快闪记忆体或其他内存技术、只读光盘只读存储器(CD-ROM)、数字多功能光盘(DVD)或其他光学存储、磁盒式磁带，磁带磁磁盘存储或其他磁性存储设备或任何其他非传输介质，可用于存储可以被计算设备访问的信息。按照本文中的界定，计算机可读介质不包括暂存电脑可读媒体(transitory media)，如调制的数据信号和载波。
还需要说明的是，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、商品或者设备不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、商品或者设备所固有的要素。在没有更多限制的情况下，由语句“包括 一个……”限定的要素，并不排除在包括所述要素的过程、方法、商品或者设备中还存在另外的相同要素。
本领域技术人员应明白，本申请的实施例可提供为方法、系统或计算机程序产品。因此，本申请可采用完全硬件实施例、完全软件实施例或结合软件和硬件方面的实施例的形式。而且，本申请可采用在一个或多个其中包含有计算机可用程序代码的计算机可用存储介质(包括但不限于磁盘存储器、CD-ROM、光学存储器等)上实施的计算机程序产品的形式。
本申请可以在由计算机执行的计算机可执行指令的一般上下文中描述，例如程序模块。一般地，程序模块包括执行特定任务或实现特定抽象数据类型的例程、程序、对象、组件、数据结构等等。也可以在分布式计算环境中实践本申请，在这些分布式计算环境中，由通过通信网络而被连接的远程处理设备来执行任务。在分布式计算环境中，程序模块可以位于包括存储设备在内的本地和远程计算机存储介质中。
本说明书中的各个实施例均采用递进的方式描述，各个实施例之间相同相似的部分互相参见即可，每个实施例重点说明的都是与其他实施例的不同之处。尤其，对于系统实施例而言，由于其基本相似于方法实施例，所以描述的比较简单，相关之处参见方法实施例的部分说明即可。
以上所述仅为本申请的实施例而已，并不用于限制本申请。对于本领域技术人员来说，本申请可以有各种更改和变化。凡在本申请的精神和原理之内所作的任何修改、等同替换、改进等，均应包含在本申请的权利要求范围之内。

Claims (30)

  1. 一种评价信息的发布方法，其特征在于，所述方法包括：
    接收携带待评价对象的标识的各操作信息；
    根据所述各操作信息，确定所述待评价对象对应的特征值，并根据所述待评价对象的标识，确定所述待评价对象所属的类别；
    确定所述类别对应的比较值，并比较所述待评价对象对应的特征值以及所述比较值；其中，所述比较值是根据所述类别中的部分或全部对象对应的特征值确定的；
    根据比较结果确定所述待评价对象的评价信息并发布。
  2. 如权利要求1所述的方法，其特征在于，接收携带待评价对象的标识的各操作信息，具体包括：
    按照预设的周期，接收当前周期内发来的携带待评价对象的标识的各操作信息。
  3. 如权利要求1所述的方法，其特征在于，确定所述类别对应的比较值，具体包括：
    根据所述待评价对象的标识，确定所述待评价对象的属性；
    在所述类别中除所述待评价对象以外的其他对象中，确定属性与所述待评价对象的属性相同的其他对象；
    根据确定出的其他对象对应的特征值，确定所述类别对应的比较值。
  4. 如权利要求2所述的方法，其特征在于，确定所述类别对应的比较值，具体包括：
    确定与当前周期对应的历史周期；
    将基于所述历史周期内确定出的比较值确定为所述类别对应的比较值，其中，基于所述历史周期内确定出的比较值为：根据在所述历史周期内确定出的所述类别中各对象对应的特征值确定的。
  5. 如权利要求2所述的方法，其特征在于，确定所述类别对应的比较值， 具体包括：
    根据在当前周期内接收到的携带所述类别中各对象的标识的操作信息，确定当前周期内所述类别中各对象对应的特征值；
    根据当前周期内所述类别中各对象对应的特征值，确定所述类别对应的比较值。
  6. 如权利要求1所述的方法，其特征在于，根据比较结果确定所述待评价对象的评价信息并发布，具体包括：
    根据预设的规则，确定所述比较结果对应的分值；
    根据所述分值确定所述待评价对象的评价信息，并发布。
  7. 如权利要求6所述的方法，其特征在于，根据所述分值确定所述待评价对象的评价信息，具体包括：
    确定历史上用户对所述待评价对象的评分；
    根据预设的所述评分对应的权重和所述分值，确定所述待评价对象的评价信息。
  8. 一种评价信息的发布方法，其特征在于，所述方法包括：
    接收携带餐馆的标识的各支付信息；
    根据所述各支付信息，确定所述餐馆对应的特征值，并根据所述餐馆的标识，确定所述餐馆所属的类别；
    确定所述类别对应的比较值，并比较所述餐馆对应的特征值以及所述比较值；其中，所述比较值是根据所述类别中的部分或全部餐馆对应的特征值确定的；
    根据比较结果确定所述餐馆的评价信息并发布。
  9. 如权利要求8所述的方法，其特征在于，接收携带餐馆的标识的各支付信息，具体包括：
    按照预设的周期，接收当前周期内发来的携带餐馆的标识的各支付信息。
  10. 如权利要求9所述的方法，其特征在于，根据所述各支付信息，确定 所述餐馆对应的特征值，具体包括：
    根据接收到的当前周期内发来的携带餐馆的标识的各支付信息，确定所述餐馆在当前周期内的收款次数。
  11. 如权利要求8所述的方法，其特征在于，确定所述类别对应的比较值，具体包括：
    根据所述餐馆的标识，确定所述餐馆所在的地理区域；
    在所述类别中除所述餐馆以外的其他餐馆中，确定所在的地理区域与所述餐馆所在的地理区域相同的其他餐馆；
    根据确定出的其他餐馆对应的特征值，确定所述类别对应的特征值。
  12. 如权利要求10所述的方法，其特征在于，确定所述类别对应的比较值，具体包括：
    确定与当前周期对应的历史周期；
    将基于所述历史周期内确定出的平均收款次数确定为所述类别对应的比较值，其中，基于所述历史周期内确定出的平均收款次数为：根据在所述历史周期内确定出的所述类别中各餐馆对应的收款次数确定的。
  13. 如权利要求10所述的方法，其特征在于，确定所述类别对应的比较值，具体包括：
    根据在当前周期内接收到的携带所述类别中各餐馆的标识的支付信息，确定当前周期内所述类别中各餐馆对应的收款次数；
    根据当前周期内所述类别中各餐馆对应的收款次数，确定所述类别对应的平均收款次数。
  14. 如权利要求12或13所述的方法，其特征在于，根据比较结果确定所述餐馆的评价信息并发布，具体包括：
    根据预设的规则，确定所述比较结果对应的分值；
    根据所述分值确定所述餐馆的人气值，作为所述餐馆的评价信息，并发布。
  15. 如权利要求14所述的方法，其特征在于，根据所述分值确定所述餐 馆的人气值，具体包括：
    确定历史上用户对所述餐馆的评分；
    根据预设的所述评分对应的权重和所述分值，确定所述餐馆的人气值。
  16. 一种评价信息的发布装置，其特征在于，所述装置包括：
    接收模块，接收携带待评价对象的标识的各操作信息；
    确定模块，根据所述各操作信息，确定所述待评价对象对应的特征值，并根据所述待评价对象的标识，确定所述待评价对象所属的类别；
    比较模块，确定所述类别对应的比较值，并比较所述待评价对象对应的特征值以及所述比较值；其中，所述比较值是根据所述类别中的部分或全部对象对应的特征值确定的；
    发布模块，根据比较结果确定所述待评价对象的评价信息并发布。
  17. 如权利要求16所述的装置，其特征在于，所述接收模块，按照预设的周期，接收当前周期内发来的携带待评价对象的标识的各操作信息。
  18. 如权利要求16所述的装置，其特征在于，所述确定模块，根据所述待评价对象的标识，确定所述待评价对象的属性，在所述类别中除所述待评价对象以外的其他对象中，确定属性与所述待评价对象的属性相同的其他对象，根据确定出的其他对象对应的特征值，确定所述类别对应的比较值。
  19. 如权利要求17所述的装置，其特征在于，所述确定模块，确定与当前周期对应的历史周期，将基于所述历史周期内确定出的比较值确定为所述类别对应的比较值，其中，基于所述历史周期内确定出的比较值为：根据在所述历史周期内确定出的所述类别中各对象对应的特征值确定的。
  20. 如权利要求17所述的装置，其特征在于，所述确定模块，根据在当前周期内接收到的携带所述类别中各对象的标识的操作信息，确定当前周期内所述类别中各对象对应的特征值，根据当前周期内所述类别中各对象对应的特征值，确定所述类别对应的比较值。
  21. 如权利要求16所述的装置，其特征在于，所述发布模块，根据预设 的规则，确定所述比较结果对应的分值，根据所述分值确定所述待评价对象的评价信息，并发布。
  22. 如权利要求21所述的装置，其特征在于，所述发布模块，确定历史上用户对所述待评价对象的评分，根据预设的所述评分对应的权重和所述分值，确定所述待评价对象的评价信息。
  23. 一种评价信息的发布装置，其特征在于，所述装置包括：
    接收模块，接收携带餐馆的标识的各支付信息；
    确定模块，根据所述各支付信息，确定所述餐馆对应的特征值，并根据所述餐馆的标识，确定所述餐馆所属的类别；
    比较模块，确定所述类别对应的比较值，并比较所述餐馆对应的特征值以及所述比较值；其中，所述比较值是根据所述类别中的部分或全部餐馆对应的特征值确定的；
    发布模块，根据比较结果确定所述餐馆的评价信息并发布。
  24. 如权利要求23所述的装置，其特征在于，所述接收模块，按照预设的周期，接收当前周期内发来的携带餐馆的标识的各支付信息。
  25. 如权利要求24所述的装置，其特征在于，所述确定模块，根据接收到的当前周期内发来的携带餐馆的标识的各支付信息，确定所述餐馆在当前周期内的收款次数。
  26. 如权利要求23所述的装置，其特征在于，所述确定模块，根据所述餐馆的标识，确定所述餐馆所在的地理区域，在所述类别中除所述餐馆以外的其他餐馆中，确定所在的地理区域与所述餐馆所在的地理区域相同的其他餐馆，根据确定出的其他餐馆对应的特征值，确定所述类别对应的特征值。
  27. 如权利要求25所述的装置，其特征在于，所述确定模块，确定与当前周期对应的历史周期，将基于所述历史周期内确定出的平均收款次数确定为所述类别对应的比较值，其中，基于所述历史周期内确定出的平均收款次数为：根据在所述历史周期内确定出的所述类别中各餐馆对应的收款次数确定的。
  28. 如权利要求25所述的装置，其特征在于，所述确定模块，根据在当前周期内接收到的携带所述类别中各餐馆的标识的支付信息，确定当前周期内所述类别中各餐馆对应的收款次数，根据当前周期内所述类别中各餐馆对应的收款次数，确定所述类别对应的平均收款次数。
  29. 如权利要求27或28所述的装置，其特征在于，所述发布模块，根据预设的规则，确定所述比较结果对应的分值，根据所述分值确定所述餐馆的人气值，作为所述餐馆的评价信息，并发布。
  30. 如权利要求29所述的装置，其特征在于，所述发布模块，确定历史上用户对所述餐馆的评分，根据预设的所述评分对应的权重和所述分值，确定所述餐馆的人气值。
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