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Recommendation information determination method and apparatus

A technology for recommending information and users, applied in the field of data processing, can solve the problem of low accuracy of recommended information, and achieve the effect of improving accuracy

Active Publication Date: 2017-07-14
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

However, in the above scheme, the model is only built for the feedback data of "rating data", and the accuracy of using this model to determine the recommendation information is low

Method used

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  • Recommendation information determination method and apparatus
  • Recommendation information determination method and apparatus
  • Recommendation information determination method and apparatus

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Experimental program
Comparison scheme
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Embodiment approach

[0074] As an implementation manner, S202 may include:

[0075] Determine the target data size of the training set according to the preset data volume ratio between the training set and the testing set;

[0076] For each user, compare the values ​​in the first type of feedback data of the users pairwise, and the values ​​are the evaluation values ​​of the users for the recommendation information; according to the comparison results, determine the triplets corresponding to the users , the triplet includes two pieces of recommendation information corresponding to the comparison result and the identification data of the user;

[0077] According to preset rules, triples are added to the training set; until the amount of data contained in the training set reaches the target data size, stop adding; the triples that are not added to the training set constitute test set;

[0078] The training set is corrected by using the test set, and a target triplet is determined according to the ...

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Abstract

Embodiments of the invention disclose a recommendation information determination method and apparatus. A recommendation information model building process comprises the steps of obtaining identifier data of N users and at least two types of feedback data of each user, wherein N is greater than 1; by utilizing a preset partial order sample generation algorithm, performing operation on a first type of feedback data of each user to obtain a partial order sample corresponding to each user; and in combination with a preset modeling framework and a preset matrix decomposition algorithm, performing operation on the partial order sample corresponding to each user and a second type of feedback data of each user to obtain a recommendation information model. According to the method and the apparatus, the recommendation information model is built by utilizing the at least two types of feedback data of the user, and the multiple types of obtained feedback data can be effectively utilized; and compared with the model built only for scoring data, namely, one type of feedback data in the prior art, the accuracy of determining the recommendation information is improved.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a method and device for determining recommendation information. Background technique [0002] At present, some websites or software or APPs (Applications, application programs in terminals) already have information recommendation functions. For example, the Douban website can recommend movies, music, books, etc. that users may be interested in. [0003] Generally speaking, most of these websites (or software or APP, which will not be described in detail below) build a recommendation information model based on the user's rating data; then obtain the user's identification data, and match the identification data with the model; according to the matching result, Determine the information that the user may be interested in; recommend the determined information to the user. [0004] In practical applications, the website can obtain a variety of user feedback data. In a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/9535G06F18/214
Inventor 石川刘剑胡斌斌
Owner BEIJING UNIV OF POSTS & TELECOMM
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