WO2016086724A1 - 一种确定候评项的质量信息的方法与装置 - Google Patents
一种确定候评项的质量信息的方法与装置 Download PDFInfo
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Definitions
- the application is filed as a priority application by a Chinese patent application.
- the application date of the priority application is December 5, 2014, and the application number is 201410743141.2.
- the invention is entitled "A Method and Apparatus for Determining Quality Information of Waiting Items”. .
- the present invention relates to the field of Internet technologies, and in particular, to a technology for determining quality information of a candidate item.
- the page can present 5 stars for users.
- the user lights up, and the number of stars illuminated by the user represents the degree of satisfaction with the candidate.
- the user can rate the candidate according to the percentage system, and the score indicates the degree of satisfaction with the candidate.
- this scoring mechanism is easily abused. For example, a promoter of a candidate may hire a large number of reviewers to score high on the candidate. Another example is that the commentator may vent his dissatisfaction, and may also score low points for the candidate. Therefore, the score of the candidate can not accurately reflect the merits of the candidate.
- a method for determining quality information of a candidate item wherein each candidate item has one or more pieces of comment information, and the method includes:
- each candidate has one or more pieces of comment information
- the device includes:
- the present invention determines the quality information of each piece of comment information of the candidate item based on the quality of the comment content and/or the credibility of the reviewer, and integrates the quality information of each piece of comment information to determine Quality information of the evaluation items.
- the present invention proposes a new evaluation index for the candidate evaluation item, that is, the quality information of the candidate evaluation item.
- the quality information of the candidate can be more accurate and not easily abused by the reviewer.
- the quality information of the evaluation items can guide the reviewers to comment on the evaluation items in a true and objective manner, and gradually eliminate the promotion and malicious attacks, thereby creating a better comment atmosphere.
- the quality information of the candidate can be used to sort the plurality of candidate items, and the ranking of the candidate items is more accurate according to the quality information according to the ranking of the rating by the reviewer. More objective and more real.
- FIG. 1 shows a flow chart of a method for determining quality information of a candidate item according to an embodiment of the present invention
- FIG. 2 is a diagram showing an apparatus for determining quality information of a candidate item according to another embodiment of the present invention.
- the invention can be implemented by any device having computing processing capabilities, such as network devices, user equipment, and the like.
- network devices many network devices are used as examples.
- each candidate item has one or more pieces of comment information, and the network device determines a quality letter of each piece of comment information. Then, the network device integrates the quality information of each comment information to determine the quality information of the candidate item.
- the network device includes, but is not limited to, a network host, a single network server, a plurality of network server sets, or a cloud composed of a plurality of servers.
- the cloud is composed of a large number of host or network servers based on Cloud Computing, which is a kind of distributed computing, a super virtual computer composed of a group of loosely coupled computers.
- the network device may determine the quality information of the candidate item as a whole, or by a part of the network host/server, or even a specific device installed in one or more network hosts/servers, such as a determining device. .
- the user equipment includes, but is not limited to, any electronic product that can interact with the user through an input device such as a keyboard, a virtual keyboard, a touch pad, a touch screen, and a voice control device, such as a PC, a notebook computer, a mobile phone, a smart phone, a PDA, a tablet. Computer, etc.
- an input device such as a keyboard, a virtual keyboard, a touch pad, a touch screen, and a voice control device, such as a PC, a notebook computer, a mobile phone, a smart phone, a PDA, a tablet. Computer, etc.
- step S1 the network device determines quality information of each piece of comment information of the candidate item; in step S2, the network device integrates the quality information of each piece of comment information to determine quality information of the item to be evaluated.
- step S1 the network device determines quality information of each piece of comment information of the candidate item.
- each candidate has one or more pieces of comment information.
- the candidate item means an item to be reviewed for its quality. Waiting items include but are not limited to: restaurants, music, movies, books, websites, etc.
- the commentary information means the information posted by the reviewer on the candidate's commentary.
- the form of the comment information includes but is not limited to text, pictures, videos, and the like.
- the website can be used as an evaluation item.
- the website can be any Internet website. Such as: Baidu, Google, Sina, Sohu, Jingdong, Taobao, Ctrip, where to go, reviews, the US Mission and so on.
- the website should be understood in a broad sense, that is, not only the aforementioned first-level website but also the lower-level channel of the first-level website. Specific examples are: Sina News, Baidu Map, Sohu Sports, etc.
- the website's review information includes, but is not limited to, any information posted by the reviewer in the comment area of the website, such as the reviewer's experience of browsing the website, the reviewer's comments on the website's page design, the reviewer's comments on the website's features, and the reviewer. About the experience of using the website.
- the quality information of the review information is used to measure the pros and cons of the review information.
- the quality information can be represented by a numerical value, which can sometimes be regarded as a quality score.
- the quality information of the review information can be measured in a variety of ways or factors, such as based on factors such as the content of the review, the reviewer, and the like.
- the quality information of the comment information may be determined based on at least one of the following:
- the quality of the review content is used to indicate the quality of the review content.
- This quality can be expressed as a numerical value and thus can sometimes be regarded as a quality value.
- the commenter means the user who posted the comment information.
- the credibility of the reviewer is used to indicate the degree of trustworthiness of the reviewer. This credibility can be expressed as a value and can sometimes be considered a trusted value.
- the quality information of the comment information may be determined only based on the quality of the comment content.
- the network device may directly determine the quality of the comment content as the quality information of the comment information; or the quality information of the comment information may also be based only on the reviewer's
- the credibility determines for example, the network device can directly determine the credibility of the reviewer as the quality information of the review information; or the quality information of the review information can be determined based on the quality of the review content and the credibility of the reviewer.
- the network device may determine the sum of the quality of the review content and the average of the credibility of the reviewer or both as the quality information of the review information.
- the quality of the review content and the credibility of the reviewer can also be determined based on other means. The following will discuss the way in which the quality of the comments is determined, as well as the reviewers. The way to determine the credibility.
- the quality of the review content may be determined based on at least one of the following parameters:
- the relevance of the comment content and the candidate item is used to indicate the degree of correlation between the two.
- the correlation can be expressed by a numerical value.
- the relevance of the comment content in the form of text to the candidate item can be determined by semantic analysis of the comment content. For example, the more keywords that are matched in the keyword table corresponding to the candidate item in the comment content, the higher the degree of relevance of the comment content and the candidate item, and the keyword table holds one corresponding to the item of the item or Multiple keywords.
- the keywords corresponding to Jingdong include such as "commodity type", “commodity price”, “price-performance ratio", "shopping experience” and the like.
- the keyword list of each candidate item may be preset or extracted from the page content of the candidate item, such as adding a word with a higher frequency in the page to the keyword list of the candidate item.
- the content of the comment in the form of a picture or a video can be obtained by recognizing the OCR (Optical Character Recognition) of each frame of the image or the video to obtain the corresponding text form of the comment content for determining the content of the comment and the evaluation.
- OCR Optical Character Recognition
- the relevance of the item can be manually determined, or a manual review of the picture or video that the network device cannot determine can be submitted.
- the content of the comment in the form of a picture or video does not appear separately, but will appear along with the content of the comment in the form of a text, so that it can also be determined only when the text appears together with the text. degree.
- Whether the comment content in text form contains an advertisement can be determined by judging whether the comment content contains a character string of the advertisement feature.
- the string of the ad feature includes a string such as a rule that conforms to the predetermined number and other ad keywords.
- the former is specifically a string that conforms to the phone number rule, such as a ten-digit string beginning with "400” or "800", an eleven-digit string beginning with "13", "15”, or the like, or Comply with the rules of instant messaging software account
- the comment content in the form of a picture or a video may also be obtained by OCR recognition to obtain a comment content in a corresponding text form, and then determine whether or not the advertisement is included by the above-described method for advertising the text content.
- the advertisement picture, video, and the like generally have a large degree of repetition, it is also possible to determine whether the comment content in the form of a picture or a video includes an advertisement by querying the advertisement picture library and/or the advertisement video library.
- whether the content of the photo in the form of a picture or a video includes an advertisement can be manually determined, or a manual review of a picture or video that cannot be judged by the network device is submitted.
- the comment content contains an ad
- its quality can be determined to be zero, or the value of the parameter can be determined to be a lower value, such as zero or a negative number, in combination with other parameters to determine the quality of the comment content. To eliminate the impact of advertising on quality.
- the feedback information means the feedback of the reviewer to the content of the review.
- Feedback information is like praise, objection and reply.
- the number of feedback information is used as a parameter for evaluating the quality of the comment content, which can be converted into parameter values of the parameter by a certain conversion method, such as a value normalized to 0-100, 0-1.
- the amount of feedback information is used independently or in combination with other parameters to determine the quality of the content of the review, the greater the number of likes and replies, the higher the quality of the review content; the greater the number of objections, the content of the review The lower the quality.
- sensitive words include, but are not limited to, strings such as those used to express pornography, reaction, violence, and the like.
- the content of the picture form and the video form can be obtained by OCR recognition to obtain the corresponding text form of the comment content, and then the sensitive content information is determined by the above-mentioned method for identifying the content of the text content to determine whether the comment content contains sensitive information.
- the sensitive content information is determined by the above-mentioned method for identifying the content of the text content to determine whether the comment content contains sensitive information.
- whether the content of the comment in the form of a picture or a video contains sensitive information can be manually determined, or a manual review of a picture or video that the network device cannot judge can be submitted.
- the comment contains sensitive information
- its quality can be determined to be zero, or the value of the parameter can be determined as a lower value, such as zero or a negative number, in combination with other parameters to determine the quality of the comment content. Eliminate the impact of sensitive information on quality.
- the quality of the review content may be determined based on any of the above parameters, such as the value of any one of the parameters as the quality of the review content; or, the content of the review may also be based on a combination of at least two of the above parameters. It is determined that the quality of the comment content is obtained by the calculation processing of the parameter values of the at least two parameters described above.
- the credibility of the reviewer is an evaluation of the reviewer itself, which can be determined based on at least one of the following parameters:
- the credential's identity credibility is used to evaluate the credibility of the reviewer from an identity perspective.
- the identity credibility can be represented by a numerical value.
- the credibility of the reviewer's identity can be determined by whether the reviewer passes various authentications, such as whether through ID card verification, mobile phone verification, payment platform transaction verification, and the more authenticated by the reviewer, the identity can be The higher the reliability.
- the credential's behavioral credibility is used to evaluate the credibility of the reviewer from a behavioral perspective.
- the behavioral credibility can be expressed as a numerical value.
- the credibility of the reviewer's behavior can be determined by the reviewer's historical behavior record. For example, if the comment content of the reviewer's history is highly correlated with the candidate's review item, the comment content does not contain the advertisement, and the comment content includes the reviewer's personal experience, the reviewer's behavior is highly credible.
- the credibility of the reviewer's behavior can also be determined by the level of the reviewer's level.
- the level of the commenter can be distinguished from various dimensions, such as the skill level, which can be divided into experts, ordinary, etc., which are distinguished from the level of trust. Whitelists, blacklists, etc. Each level of level corresponds to a different behavioral credibility.
- the credibility of the reviewer can be determined based on any of the above parameters, such as the value of any one of the parameters as the credibility of the reviewer; or the credibility of the reviewer can be based on the above two
- the combination is determined to obtain the credibility of the reviewer by calculating the parameter values of the above two parameters.
- the network device may determine the quality information of the comment information according to the quality of the comment content and the credibility of the reviewer, and the respective corresponding weights.
- the network device may determine quality information of one piece of comment information based on the following formula 1:
- CommentQuality Content ⁇ W content +User ⁇ W user formula 1
- CommentQuality represents the quality information of the comment information
- Content represents the quality of the comment content
- W content represents the weight of the quality of the comment content
- User represents the credibility of the reviewer
- W user represents the credibility weight of the reviewer.
- the values of W content and W user may be preset or dynamically determined. For example, when the quality of the comment content is high, the corresponding weight is increased, and the corresponding weight of the credential credibility is lowered; or, when the credibility of the reviewer is high, the corresponding weight is increased, and the corresponding weight is lowered. Comment on the corresponding weight of the content quality.
- step S2 the network device integrates the quality information of each piece of comment information to determine the quality information of the item to be evaluated.
- the quality information of the candidate is used to measure the merits of the candidate.
- the quality information can be represented by a numerical value, which can sometimes be regarded as a quality score.
- the network device can determine the quality information of the candidate item in a variety of comprehensive ways. For example, the network device may use the sum or average of the quality information of all the comment information as the quality information of the candidate. For another example, the highest value and the lowest value of the quality information of all the comment information may be removed, and the average value of the quality information of the remaining comment information may be used as the quality information of the candidate item.
- the network device may weight determine the quality information of the candidate item according to the quality information of each piece of comment information and the weight of the evaluation index information corresponding to each piece of comment information. interest.
- the evaluation index information means the commentary's comment on the exponential nature of the candidate.
- the evaluation index information can express the likes and dislikes of the reviewers.
- the evaluation index information can generally be regarded as the rating of the candidate by the reviewer.
- the evaluation index information can be expressed as the number of stars lit up by the reviewer, the score value based on the percentage system, and the like.
- each comment information can correspond to one evaluation index information by setting the comment rule.
- the present invention is exemplified only in the form of the number of lighted stars as the form of the evaluation index information.
- evaluation index information that may be present as applicable to the present invention is also intended to be included within the scope of the present invention and is hereby incorporated by reference.
- the manner in which the network device determines the quality information of the candidate item includes, but is not limited to, the following two types:
- the network device can directly determine the quality information of the candidate item according to the quality information of each piece of comment information and the weight of the evaluation index information corresponding to each piece of comment information.
- the network device may determine quality information of the candidate item based on the following formula 2:
- CommentQuality n represents quality information of any one of the comment information n
- Pn represents the weight of the evaluation index information corresponding to the comment information n
- z represents the total number of comment information corresponding to the candidate item
- ItemQuality represents the candidate item. Quality information.
- the meaning expressed by Formula 2 is that the weighted sum is obtained according to the quality information of each piece of comment information and the weight of the evaluation index information corresponding to each piece of comment information, and the weighted sum is the quality information of the item to be evaluated. .
- the influence of the weight of the evaluation index information is further considered, that is, the commentator's intuitive likes and dislikes for the candidate items are considered.
- the evaluation index of the evaluation item is also low, such as only one star; at this time, the quality score of the comment information may be high, and if the quality score of the evaluation item is determined based only on the quality score of the comment information, then The quality score of this candidate will also be higher, which obviously does not meet the commenter's intent.
- evaluation index information to weight the quality scores of the candidate items.
- the rating index is lower, the corresponding weight is also lower, so that the quality score of the comment information is weighted by the weight, and the high-quality score caused by the commenter's richer comment content and the reviewer's candidate for the candidate are Balance between negative evaluations.
- the quality information of the candidate item is generally calculated when the quality information of the candidate item is calculated based on the formula 2, the quality information of the corresponding item of the item is higher. This reflects to a certain extent the recognition of a large number of commentators on the waiting items. However, in some application scenarios, this can lead to inconsistencies in metrics.
- the network device may further weight and sum the quality information of each comment information according to the total number of comment information corresponding to the candidate item, and use the mean value to represent the quality information of the item to be evaluated.
- the network device may determine quality information of the candidate item based on the following formula 3:
- CommentQuality n represents the quality information of any one of the comment information n
- Pn represents the weight of the rating index information corresponding to the comment information n
- z represents the total number of the comment information n corresponding to the candidate item
- ItemQuality represents the waiting evaluation Quality information of the item.
- the quality information of the candidate item determined based on the formula 3 is obtained according to the number of the comment information, and sometimes it is more accurate, and it can be avoided that the quality information of the item to be evaluated is high simply because the number of comment information is large.
- the quality information of the evaluation items may be normalized so that they are always in the range of 0-1 or 0-100. Therefore, it is possible to effectively evaluate each candidate item based on the quality information.
- the network device can determine the quality information of the candidate item based on the following steps:
- the network device classifies the quality according to the quality information of each comment information to obtain review information belonging to different quality levels.
- the network device may perform quality classification on the comment information according to the quality information of each piece of comment information to obtain three levels of high, medium, and low quality review information, and each quality level corresponds to different comment information.
- the criteria for quality grading may be preset or dynamically determined. For example, a uniform grading standard can be set that can be applied to the quality grading of the comment information of all the candidates.
- the rating information belonging to each quality level is determined according to the number of levels, for example, divided into 2 levels, 3 levels, and the like.
- the network device determines the weight corresponding to the corresponding quality level according to the evaluation index information corresponding to the comment information in each quality level.
- the network device can determine the weight corresponding to any one of the quality levels based on Equation 4 below:
- PLevel m represents the weight of the evaluation index information corresponding to the comment information m in a quality level
- a represents the total number of the comment information m in the quality level
- PLevel represents the weight corresponding to the quality level
- Network device may be based on Equation 4, respectively, to determine the weight of each quality level corresponding to the weight PLevel, particularly such as the right quality level corresponding to the weight PLevel high, right in the quality level of the corresponding heavy PLevel midd, right lower quality level corresponds to a weight PLevel low.
- the network device weights the quality information of the candidate item according to the mean value of the quality information of the comment information in each quality level and the weight of the corresponding quality level.
- the network device can determine the quality information of the candidate item based on Equation 5 below:
- HighCommentQuality h represents quality information of the high quality level comment information h
- b represents the total number of high quality level comment information h
- PLevel high represents the weight of the high quality level
- MiddCommentQuality j represents the quality information of the medium quality level comment information j
- c represents The total number of medium quality level comment information j
- PLevel midd indicates the weight of the medium quality level
- LowCommentQuality k indicates the quality information of the low quality level comment information k
- d indicates the total number of low quality level comment information k
- PLevel low indicates the weight of the low quality level
- ItemQuality represents the quality information of the candidate.
- the present specification describes a scheme for determining quality information of a candidate item, and those skilled in the art should understand that the network device can determine the quality information of each candidate item based on the foregoing scheme.
- the network device may update the comment information of each candidate item according to the predetermined condition, and then update the quality information of each item of the item according to each of the above calculation methods.
- the update condition of the comment information may be updated according to a predetermined period, such as updating once a week; or may be updated according to a predetermined event, such as when a newly posted comment information is detected, that is, the corresponding candidate is updated. Quality information of the item.
- the network device may establish a candidate item database, where the quality information of each candidate item that has been calculated and each calculation parameter used to calculate the quality information are stored, and each calculation parameter such as each comment information
- the quality information, corresponding weights, etc. depend on the calculation method used by the network equipment for the quality information of the candidate. Taking Equation 2 as an example, when the update period is reached, the network device obtains new comment information for each candidate, and calculates the quality information of each newly added comment information and its corresponding weight, and then combines the stored previous comments. The quality information of the information and its corresponding weights are recalculated to the quality information of the corresponding candidate items.
- the network device may determine and store the quality information of each candidate item "offline”; or the network device may determine the quality information of each candidate item in "online” in real time. That is, when the quality information of the candidate item needs to be called, the network device can use the quality information of the candidate item that is calculated “offline” and stored in the candidate item database, or is calculated in real time through “online”. Quality information of the assessment.
- the network device may further sort the plurality of candidate items according to the quality information of each candidate item, and present the ranked plurality of candidate items to the user.
- the network device can arrange the candidate items with high quality information in the front position in the order of high to low, and arrange the waiting items with low quality information in the lower position. Position and present the user with multiple candidates for the ranking.
- the network device may first obtain each candidate item, that is, each site under the category, and then determine the order according to the quality information of each candidate item, and generate a corresponding site classification page according to the ranking. Presented to the user.
- FIG. 2 shows a schematic diagram of a device according to another embodiment of the present invention, which specifically shows a device for determining quality information of a candidate item, that is, a determining device 10.
- the determining device 10 is installed in a network device, and specifically includes the device 11 and the device 12.
- the device 11 determines the quality information of each piece of comment information of the candidate item (for convenience of distinction, the device 11 is hereinafter referred to as the comment quality determining device 11); the device 12 integrates the quality information of each piece of comment information to determine the quality information of the item to be evaluated. (For ease of differentiation, the following device 12 will be It is called a candidate evaluation item determining device 12).
- the comment quality determining means 11 determines the quality information of each piece of comment information of the item to be evaluated.
- each candidate has one or more pieces of comment information.
- the candidate item means an item to be reviewed for its quality. Waiting items include but are not limited to: restaurants, music, movies, books, websites, etc.
- the commentary information means the information posted by the reviewer on the candidate's commentary.
- the form of the comment information includes but is not limited to text, pictures, videos, and the like.
- the website can be used as an evaluation item.
- the website can be any Internet website, such as: Baidu, Google, Sina, Sohu, Jingdong, Taobao, Ctrip, Qunar, Review, Meituan, etc.
- the website should be understood in a broad sense, that is, not only the aforementioned first-level website but also the lower-level channel of the first-level website. Specific examples are: Sina News, Baidu Map, Sohu Sports, etc.
- the website's review information includes, but is not limited to, any information posted by the reviewer in the comment area of the website, such as the reviewer's experience of browsing the website, the reviewer's comments on the website's page design, the reviewer's comments on the website's features, and the reviewer. About the experience of using the website.
- the quality information of the review information is used to measure the pros and cons of the review information.
- the quality information can be represented by a numerical value, which can sometimes be regarded as a quality score.
- the quality information of the review information can be measured in a variety of ways or factors, such as based on factors such as the content of the review, the reviewer, and the like.
- the quality information of the comment information may be determined based on at least one of the following:
- the quality of the review content is used to indicate the quality of the review content.
- This quality can be expressed as a numerical value and thus can sometimes be regarded as a quality value.
- the commenter means the user who posted the comment information.
- the credibility of the reviewer is used to indicate the degree of trustworthiness of the reviewer. This credibility can be expressed as a value and can sometimes be considered a trusted value.
- the quality information of the comment information may be determined based only on the quality of the comment content.
- the comment quality determining means 11 may directly determine the quality of the comment content as the quality information of the comment information; or the quality information of the comment information may also be based only on
- the credibility of the reviewer determines, for example, the review quality determining means 11 can directly determine the credibility of the reviewer as the quality information of the review information; or the quality information of the review information can be based on the quality of the review content and the reviewer
- the credibility determines, for example, the comment quality determining means 11 may determine the sum of the quality of the comment content and the mean of the credential of the reviewer or both as the quality information of the comment information.
- the quality of the review content and the credibility of the reviewer can also be determined based on other means.
- the manner in which the quality of the review content is determined and the manner in which the credibility of the reviewer is determined will be separately discussed below.
- the quality of the review content may be determined based on at least one of the following parameters:
- the relevance of the comment content and the candidate item is used to indicate the degree of correlation between the two.
- the correlation can be expressed by a numerical value.
- the relevance of the comment content in the form of text to the candidate item can be determined by semantic analysis of the comment content. For example, the more keywords that are matched in the keyword table corresponding to the candidate item in the comment content, the higher the degree of relevance of the comment content and the candidate item, and the keyword table holds one corresponding to the item of the item or Multiple keywords.
- the keywords corresponding to Jingdong include such as "commodity type", “commodity price”, “price-performance ratio", "shopping experience” and the like.
- the keyword list of each candidate item may be preset or extracted from the page content of the candidate item, such as adding a word with a higher frequency in the page to the keyword list of the candidate item.
- the content of the comment in the form of a picture or a video can be obtained by recognizing the OCR (Optical Character Recognition) of each frame of the image or the video to obtain the corresponding text form of the comment content for determining the content of the comment and the evaluation.
- OCR Optical Character Recognition
- the relevance of the item may be manually determined, or the comment quality determining means 11 submits a picture or video that cannot be judged to a manual review.
- the content of the comment in the form of a picture or video does not appear separately, but will appear along with the content of the comment in the form of a text, so that it can also be determined only when the text appears together with the text. degree.
- Whether the comment content in text form contains an advertisement can be determined by judging whether the comment content contains a character string of the advertisement feature.
- the string of the ad feature includes a string such as a rule that conforms to the predetermined number and other ad keywords.
- the former is specifically a string that conforms to the phone number rule, such as a ten-digit string beginning with "400” or "800", an eleven-digit string beginning with "13", "15”, or the like, or A string that conforms to the rules of the instant messaging software account, such as a string starting with "QQ:".
- the latter can be determined by querying the keyword list of advertisements.
- the comment content in the form of a picture or a video may also be obtained by OCR recognition to obtain a comment content in a corresponding text form, and then determine whether or not the advertisement is included by the above-described method for advertising the text content. Or, since the advertisement picture, video, and the like generally have a large degree of repetition, it is also possible to determine whether the comment content in the form of a picture or a video includes an advertisement by querying the advertisement picture library and/or the advertisement video library. Further, whether the comment content in the form of a picture or a video includes an advertisement can be manually determined, or the comment quality determining means 11 submits a picture or video which cannot be judged to a manual review.
- the comment content contains an ad
- its quality can be determined to be zero, or the value of the parameter can be determined to be a lower value, such as zero or a negative number, in combination with other parameters to determine the quality of the comment content. To eliminate the impact of advertising on quality.
- the feedback information means the feedback of the reviewer to the content of the review.
- Feedback information is like praise, objection and reply.
- the amount of feedback information as a measure of the quality of the review content
- the amount of feedback information is used independently or in combination with other parameters to determine the quality of the content of the review, the greater the number of likes and replies, the higher the quality of the review content; the greater the number of objections, the content of the review The lower the quality.
- sensitive words include, but are not limited to, strings such as those used to express pornography, reaction, violence, and the like.
- the content of the picture form and the video form can be obtained by OCR recognition to obtain the corresponding text form of the comment content, and then the sensitive content information is determined by the above-mentioned method for identifying the content of the text content to determine whether the comment content contains sensitive information.
- the sensitive content information is determined by the above-mentioned method for identifying the content of the text content to determine whether the comment content contains sensitive information.
- the comment contains sensitive information
- its quality can be determined to be zero, or the value of the parameter can be determined as a lower value, such as zero or a negative number, in combination with other parameters to determine the quality of the comment content. Eliminate the impact of sensitive information on quality.
- the quality of the review content may be determined based on any of the above parameters, such as the value of any one of the parameters as the quality of the review content; or, the content of the review may also be based on a combination of at least two of the above parameters. It is determined that the quality of the comment content is obtained by the calculation processing of the parameter values of the at least two parameters described above.
- the credibility of the reviewer is an evaluation of the reviewer itself, which can be determined based on at least one of the following parameters:
- the credential's identity credibility is used to evaluate the credibility of the reviewer from an identity perspective.
- the identity credibility can be represented by a numerical value.
- the credibility of the reviewer's identity can be determined by whether the reviewer passes various authentications, such as whether through ID card verification, mobile phone verification, payment platform transaction verification, and the more authenticated by the reviewer, the identity can be The higher the reliability.
- the credential's behavioral credibility is used to evaluate the credibility of the reviewer from a behavioral perspective.
- the behavioral credibility can be expressed as a numerical value.
- the credibility of the reviewer's behavior can be determined by the reviewer's historical behavior record. For example, if the comment content of the reviewer's history is highly correlated with the candidate's review item, the comment content does not contain the advertisement, and the comment content includes the reviewer's personal experience, the reviewer's behavior is highly credible.
- the credibility of the reviewer's behavior can also be determined by the level of the reviewer's level.
- the level of the commenter can be distinguished from various dimensions, such as the skill level, which can be divided into experts, ordinary, etc., which are distinguished by the level of trust, and can be divided into whitelists and blacklists. Each level of level corresponds to a different behavioral credibility.
- the credibility of the reviewer can be determined based on any of the above parameters, such as the value of any one of the parameters as the credibility of the reviewer; or the credibility of the reviewer can be based on the above two
- the combination is determined to obtain the credibility of the reviewer by calculating the parameter values of the above two parameters.
- the review quality determining means 11 may weight determine the quality information of the comment information according to the quality of the comment content and the credibility of the reviewer, and the respective corresponding weights.
- the comment quality determining means 11 can determine the quality information of one piece of comment information based on the above formula 1.
- the candidate item quality determining means 12 integrates the quality information of each piece of comment information to determine the quality information of the item to be evaluated.
- the quality information of the candidate is used to measure the merits of the candidate.
- the quality information can be represented by a numerical value, which can sometimes be regarded as a quality score.
- the candidate item quality determining device 12 can determine the candidate item by a plurality of comprehensive methods. Quality information.
- the candidate item quality determining means 12 may use the sum or average of the quality information of all the comment information as the quality information of the candidate item.
- the highest value and the lowest value of the quality information of all the comment information may be removed, and the average value of the quality information of the remaining comment information may be used as the quality information of the candidate item.
- the candidate item quality determining means 12 may weight determine the quality information of the candidate item based on the quality information of each piece of comment information and the weight of the rating index information corresponding to each piece of comment information.
- the evaluation index information means the commentary's comment on the exponential nature of the candidate.
- the evaluation index information can express the likes and dislikes of the reviewers.
- the evaluation index information can generally be regarded as the rating of the candidate by the reviewer.
- the evaluation index information can be expressed as the number of stars lit up by the reviewer, the score value based on the percentage system, and the like.
- each comment information can correspond to one evaluation index information by setting the comment rule.
- the present invention is exemplified only in the form of the number of lighted stars as the form of the evaluation index information.
- evaluation index information that may be present as applicable to the present invention is also intended to be included within the scope of the present invention and is hereby incorporated by reference.
- lighting 5 stars corresponds to the highest evaluation index information
- lighting 1 star corresponds to the lowest evaluation index information.
- the correspondence between the evaluation index information and the weight is as shown in Table 1 above.
- the manner in which the candidate item quality determining means 12 determines the quality information of the candidate item includes, but is not limited to, the following two types:
- the candidate item quality determining means 12 may directly determine the quality information of the candidate item based on the quality information of each piece of comment information and the weight of the evaluation index information corresponding to each piece of comment information.
- the candidate item quality determining means 12 can determine the quality information of the candidate item based on the above formula 2.
- the meaning expressed by Formula 2 is that the weighted sum is obtained according to the quality information of each piece of comment information and the weight of the evaluation index information corresponding to each piece of comment information, and the addition The right is the quality information of the evaluation.
- the influence of the weight of the evaluation index information is further considered, that is, the commentator's intuitive likes and dislikes for the candidate items are considered.
- the evaluation index of the evaluation item is also low, such as only one star; at this time, the quality score of the comment information may be high, and if the quality score of the evaluation item is determined based only on the quality score of the comment information, then The quality score of this candidate will also be higher, which obviously does not meet the commenter's intent.
- evaluation index information to weight the quality scores of the candidate items.
- the rating index is lower, the corresponding weight is also lower, so that the quality score of the comment information is weighted by the weight, and the high-quality score caused by the commenter's richer comment content and the reviewer's candidate for the candidate are Balance between negative evaluations.
- the quality information of the candidate item is generally calculated when the quality information of the candidate item is calculated based on the formula 2, the quality information of the corresponding item of the item is higher. This reflects to a certain extent the recognition of a large number of commentators on the waiting items. However, in some application scenarios, this can lead to inconsistencies in metrics.
- the candidate item quality determining device 12 may further weight and sum the quality information of each comment information according to the total number of comment information corresponding to the candidate item, and use the mean to represent the waiting comment. Quality information of the item.
- the candidate item quality determining means 12 can determine the quality information of the candidate item based on the above formula 3.
- the average value is obtained based on the number of comment information, which is sometimes more accurate, and it can be avoided that the quality information of the item to be evaluated is high simply because the number of comment information is large.
- the quality information of the evaluation items may be normalized so that they are always in the range of 0-1 or 0-100. Therefore, it is possible to effectively evaluate each candidate item based on the quality information.
- the candidate item quality determining means 12 can determine the waiting evaluation based on the following steps Quality information of the item:
- the candidate item quality determining means 12 classifies the quality of each piece of comment information according to the quality information of each piece of comment information to obtain comment information belonging to different quality levels.
- the candidate item quality determining device 12 may perform quality classification on the comment information according to the quality information of each piece of comment information to obtain three levels of high, medium, and low quality review information, each quality level corresponding to a different comment. information.
- the criteria for quality grading may be preset or dynamically determined. For example, a uniform grading standard can be set that can be applied to the quality grading of the comment information of all the candidates.
- the rating information belonging to each quality level is determined according to the number of levels, for example, divided into 2 levels, 3 levels, and the like.
- the candidate item quality determining means 12 determines the weight corresponding to the corresponding quality level based on the evaluation index information corresponding to the comment information in each quality level.
- the candidate item quality determining means 12 may determine the weight corresponding to any one of the quality levels based on the above formula 4.
- the candidate item quality determining device 12 may separately determine the weight PLevel corresponding to each quality level based on the formula 4, specifically, the weight PLevel high corresponding to the high quality level, the weight PLevel midd corresponding to the medium quality level, and the low quality.
- the weight corresponding to the level is PLevel low .
- the candidate item quality determining means 12 weights the quality information of the candidate item based on the mean value of the quality information of the comment information in each quality level and the weight of the corresponding quality level.
- the candidate item quality determining means 12 may determine the quality information of the candidate item based on the above formula 5.
- the review quality determining means 11 and the candidate item quality determining means 12 can be integrated.
- the present specification describes a scheme for determining quality information of one candidate item, and those skilled in the art should understand that the determining apparatus 10 can determine quality information of each candidate item based on the foregoing scheme.
- the determining device 10 may update the comment information of each candidate item according to the predetermined condition, and further update the quality information of each item of the item according to each of the above calculation methods.
- the update condition of the comment information may be updated according to a predetermined period, such as updating once a week; or may be updated according to a predetermined event, such as when a newly posted comment information is detected, that is, the corresponding candidate is updated. Quality information of the item.
- the determining device 10 may establish a candidate item database in which the quality information of each candidate item that has been calculated and each calculation parameter for calculating the quality information are stored, each of which is calculated
- the quality information of the review information, the corresponding weight, and the like depend on the calculation method used by the determining device 10 for the quality information of the candidate item. Taking Equation 2 as an example, when the update period is reached, the determining device 10 acquires new comment information for each candidate, and calculates the quality information of each newly added comment information and its corresponding weight, and then combines the previously stored each Review the quality information of the information and its corresponding weights, and recalculate the quality information of the corresponding candidate.
- the determining means 10 may determine and store the quality information of each candidate item "off-line”; alternatively, the determining means 10 may also determine the quality information of each candidate item "on-line” in real time. That is, when the quality information of the candidate item needs to be called, the determining means 10 can use the "offline” calculation and the quality information of the candidate item that has been stored in the candidate item database, or the "online” real-time calculation. Quality information of the evaluation items.
- the determining device 10 may further include a sorting device (not shown in FIG. 2), and the sorting device may sort the plurality of candidate items according to the quality information of each candidate item, and present the sorted plurality of items to the user. Waiting for evaluation.
- a sorting device not shown in FIG. 2
- the sorting device may sort the plurality of candidate items according to the quality information of each candidate item, and present the sorted plurality of items to the user. Waiting for evaluation.
- the sorting device may arrange the candidate items with high quality information in the front position in the order of high to low, and arrange the waiting items with low quality information in the lower position. Position and present the user with multiple candidates for the ranking.
- the sorting device may first obtain each candidate item, that is, each site under the category, and then determine the ranking according to the quality information of each candidate item, and generate a corresponding site classification page according to the ranking. Presented to the user.
- the present invention can be implemented in software and/or a combination of software and hardware, for example, using an application specific integrated circuit (ASIC), a general purpose computer, or any other similar hardware device.
- the software program of the present invention may be executed by a processor to implement the steps or functions described above.
- the software program (including related data structures) of the present invention can be stored in a computer readable recording medium such as a RAM memory, a magnetic or optical drive or a floppy disk and the like.
- some of the steps or functions of the present invention may be implemented in hardware, for example, as a circuit that cooperates with a processor to perform various steps or functions.
- a portion of the invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide a method and/or solution in accordance with the present invention.
- the program instructions for invoking the method of the present invention may be stored in a fixed or removable recording medium and/or transmitted by a data stream in a broadcast or other signal bearing medium, and/or stored in a The working memory of the computer device in which the program instructions are run.
- an embodiment in accordance with the present invention includes a device including a memory for storing computer program instructions and a processor for executing program instructions, wherein when the computer program instructions are executed by the processor, triggering
- the apparatus operates based on the aforementioned methods and/or technical solutions in accordance with various embodiments of the present invention.
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Abstract
Description
评价指数信息 | 权重 |
1颗星星 | 0.2 |
2颗星星 | 0.4 |
3颗星星 | 0.6 |
4颗星星 | 0.8 |
5颗星星 | 1 |
Claims (19)
- 一种确定候评项的质量信息的方法,其中,每个候评项具有一条或多条评论信息,该方法包括:-确定其中每条评论信息的质量信息;-综合所述每条评论信息的质量信息,确定所述候评项的质量信息。
- 根据权利要求1所述的方法,其中,所述每条评论信息的质量信息基于以下至少任一项确定:-评论内容的质量度;-评论者的可信度。
- 根据权利要求2所述的方法,其中,所述评论内容的质量度基于以下至少任一项确定:-所述评论内容与所述候评项的相关度;-所述评论内容是否包含广告;-所述评论内容的反馈信息的数量;-所述评论内容是否包含敏感信息。
- 根据权利要求2或3所述的方法,其中,所述评论者的可信度基于以下至少任一项确定:-所述评论者的身份可信度;-所述评论者的行为可信度。
- 根据权利要求2至4中任一项所述的方法,其中,所述确定所述每条评论信息的质量信息的步骤具体包括:-根据所述评论内容的质量度与所述评论者的可信度,以及各自对应的权重,加权确定所述每条评论信息的质量信息。
- 根据权利要求1至5中任一项所述的方法,其中,所述综合所述每条评论信息的质量信息的步骤具体包括:-根据所述每条评论信息的质量信息,以及所述每条评论信息所对应的评价指数信息的权重,加权确定所述候评项的质量信息。
- 根据权利要求6所述的方法,其中,所述综合所述每条评论信息的质量信息的步骤具体包括:-根据所述每条评论信息的质量信息对其进行质量分级,以获得属于不同质量等级的评论信息;-根据每个质量等级中评论信息所对应的评价指数信息,确定相应质量等级所对应的权重;-根据每个质量等级中评论信息的质量信息的均值,以及相应质量等级的权重,加权确定所述候评项的质量信息。
- 根据权利要求1至7中任一项所述的方法,其中,该方法还包括:-根据每个候评项的质量信息对多个候评项排序,并向用户呈现排序后的多个候评项。
- 一种确定候评项的质量信息的装置,其中,每个候评项具有一条或多条评论信息,该装置包括:用于确定其中每条评论信息的质量信息的装置;用于综合所述每条评论信息的质量信息,确定所述候评项的质量信息的装置。
- 根据权利要求9所述的装置,其中,所述每条评论信息的质量信息基于以下至少任一项确定:-评论内容的质量度;-评论者的可信度。
- 根据权利要求10所述的装置,其中,所述评论内容的质量度基于以下至少任一项确定:-所述评论内容与所述候评项的相关度;-所述评论内容是否包含广告;-所述评论内容的反馈信息的数量;-所述评论内容是否包含敏感信息。
- 根据权利要求10或11所述的装置,其中,所述评论者的可信度基于以下至少任一项确定:-所述评论者的身份可信度;-所述评论者的行为可信度。
- 根据权利要求10至12中任一项所述的装置,其中,所述确定所述每条评论信息的质量信息的装置具体用于:-根据所述评论内容的质量度与所述评论者的可信度,以及各自对应的权重,加权确定所述每条评论信息的质量信息。
- 根据权利要求9至13中任一项所述的装置,其中,所述综合所述每条评论信息的质量信息的装置具体用于:-根据所述每条评论信息的质量信息,以及所述每条评论信息所对应的评价指数信息的权重,加权确定所述候评项的质量信息。
- 根据权利要求14所述的装置,其中,所述综合所述每条评论信息的质量信息的装置具体用于:-根据所述每条评论信息的质量信息对其进行质量分级,以获得属于不同质量等级的评论信息;-根据每个质量等级中评论信息所对应的评价指数信息,确定相应质量等级所对应的权重;-根据每个质量等级中评论信息的质量信息的均值,以及相应质量等级的权重,加权确定所述候评项的质量信息。
- 根据权利要求9至15中任一项所述的装置,其中,该装置还包括:用于根据每个候评项的质量信息对多个候评项排序,并向用户呈现排序后的多个候评项的装置。
- 一种计算机可读存储介质,所述计算机可读存储介质存储有计算机指令,当所述计算机指令被执行时,如权利要求1至8中任一项所述的方法被执行。
- 一种计算机程序产品,当所述计算机程序产品被执行时,如权利要求1至8中任一项所述的方法被执行。
- 一种计算机设备,所述计算机设备包括存储器和处理器,所述存储器中存储有计算机指令,所述处理器被配置来通过执行所述计算机指令以执行如权利要求1至8中任一项所述的方法。
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