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Object recommendation method and device

A recommendation method and object technology, applied in the computer field, can solve the problem of low accuracy of object recommendation and achieve the effect of improving accuracy

Pending Publication Date: 2020-06-19
SUZHOU UNIV
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AI Technical Summary

Problems solved by technology

[0005] This application provides an object recommendation method and device, which can solve the problem of low accuracy of object recommendation in existing collaborative filtering algorithms

Method used

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  • Object recommendation method and device
  • Object recommendation method and device

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Embodiment Construction

[0059] The specific implementation manners of the present application will be further described in detail below in conjunction with the drawings and embodiments. The following examples are used to illustrate the present application, but not to limit the scope of the present application.

[0060] First, the nouns involved in this application are introduced.

[0061] Collaborative filtering algorithm: It is a recommendation algorithm. It discovers the user's preferences based on the mining of user historical behavior data, and predicts the products that users may like for recommendation. That is, the common functions such as "guess you like it" and "people who bought this product also like it".

[0062] refer to figure 1 , the traditional collaborative filtering algorithm includes at least the following steps:

[0063] Step 1, construct the user-object scoring matrix.

[0064] Wherein, the value of the matrix element may be a specific score value, or 0 or 1. When the value ...

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Abstract

The invention relates to an object recommendation method and device, and belongs to the technical field of computers, and the method comprises the steps: obtaining the historical scoring data and historical scoring time of a target user for an object and the attribute information of the object; determining an object similarity matrix among the objects based on the historical scoring data, the historical scoring time and the attribute information; obtaining a historical target object which the target user pays attention to and a real-time target object which the target user pays attention to currently; determining a historical similar object of each historical target object and a real-time similar object of each real-time target object based on the object similarity matrix to obtain a firstrecommendation list of the target user; pushing a first recommendation list to the target user; the problem that an existing collaborative filtering algorithm is low in object recommendation accuracycan be solved. The potential information of the user-object scoring matrix can be fully mined, and the object similarity matrix can be determined by utilizing the object attribute information, so that the accuracy of a recommendation result can be improved.

Description

technical field [0001] The present application relates to an object recommendation method and device, and belongs to the field of computer technology. Background technique [0002] With the development of Internet technology, data information has exploded at an exponential rate, and people are facing a serious problem of "information overload". Search engines and recommender systems are two commonly used tools to address "information overload". If users have clear goals or needs, it is more convenient and effective to use search engines to retrieve data. Users often want to "passively" understand the content they are interested in when browsing news, shopping online, watching movies, etc. The personalized recommendation provided by the recommendation system can better meet the needs of users. [0003] The core of the recommendation engine is the recommendation algorithm. Traditional personalized recommendation methods include collaborative filtering recommendations. Coll...

Claims

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Application Information

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IPC IPC(8): G06F16/9535
CPCG06F16/9535
Inventor 胡沁涵朱磊杨季文郭心悦
Owner SUZHOU UNIV
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