A Collaborative Filtering Method Based on User Scores on Item Classes

A collaborative filtering and user-based technology, applied in the field of recommendation, can solve problems such as incompleteness and underutilization of item ratings, and achieve the effects of improved accuracy, accurate scoring, and quality improvement

Inactive Publication Date: 2020-12-04
NORTHWEST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The shortcomings of the collaborative filtering method that judges user preferences from the number of times users visit items are as follows: 1) It is not comprehensive to analyze user interests only based on the number of visits
2) Users do not make full use of the ratings of items

Method used

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  • A Collaborative Filtering Method Based on User Scores on Item Classes
  • A Collaborative Filtering Method Based on User Scores on Item Classes
  • A Collaborative Filtering Method Based on User Scores on Item Classes

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Embodiment Construction

[0048] The user's personal interest model is established through the user's personal information and the user's historical feedback information, and then the information of interest is recommended for each user. Under such a general environment, the analysis of users' real interests and preferences in the current recommendation methods is biased. The present invention proposes a collaborative filtering method based on user ratings on items, which can more accurately reflect the user's real interest preference when analyzing the user's interest, thereby improving the quality of the recommendation system.

[0049] A collaborative filtering method based on users' ratings on item categories. The method makes recommendations for users based on the user's real interest preferences, including the following steps:

[0050] Step 1, for any user u in the user set U i and user u j , according to the method of steps S10 to S19 to calculate user u i and user u j total similarity. The ...

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Abstract

The invention discloses a collaborative filtering method based on users' ratings on item categories. The method proposes to introduce the ratings on item categories on the basis of feature matrix, and obtain the user's rating of item categories based on the number of visits based on the user's subjective ratings. preferences, that is, the user's real preferences; according to the user's real preferences and combined with the score similarity, the user's final similarity is obtained. The test verification on the real data set shows that the introduction of ratings into the user feature matrix can more accurately reflect user preferences, predict the real ratings of users, and improve the accuracy of the recommendation system. This method solves the defect that the existing methods only identify the user's interest preference based on the user's objective behavior, but cannot truly reflect the user's preference from the user's subjective aspect, thereby effectively improving the quality of the recommendation system.

Description

technical field [0001] The invention relates to a recommendation method, in particular to a collaborative filtering method based on users' ratings on items. The algorithm is used to make recommendations for users based on the user's real interest preference. Background technique [0002] Currently, the collaborative filtering recommendation method is one of the most widely used and successful recommendation techniques in the recommendation system. It is based on user interests, finds similar users of the specified user in the user group, and integrates the evaluation of a certain information by these similar users to form a system prediction of the specified user's preference for this information. It establishes the user's personal interest model based on the user's personal information and user's historical feedback, and then recommends information of interest to each user. [0003] Collaborative filtering methods can be divided into user-based and item-based collaborative...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 张艺史维峰冯旭
Owner NORTHWEST UNIV
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