Method and device for object recommendation

Abstract

The invention provides a method for object recommendation. The method comprises the steps of obtaining a dataset of a plurality of users relative to a plurality of object likes, and obtaining a first object recommendation list corresponding to designated users according to a collaborative filtering method; through a case-based reasoning method and by combination with a preset case-based reasoning library, obtaining applicability of a subsolution of objects in the first object recommendation list relative to the designated users; generating a second object recommendation list according to the calculated applicability, and recommending objects to the designated users. Based on the collaborative filtering method, recommendation results are adjusted further through case recommendation, the shortcoming of collaborative filtering is overcome, and the method is favorable for improving object recommendation precision and user satisfaction by combination with user short-term preferences.

Description

Technical field [0001] The invention belongs to the Internet field, and particularly relates to an object recommendation method and device. Background technique [0002] With the development of Internet communication technology, there are more and more Internet users, and the resource data on the Internet is also increasing rapidly. For example, the number of video websites is increasing, and a large number of video resources are stored in the servers of these video websites. Faced with a small amount of video information, users hope to quickly locate the video they are interested in. [0003] In order to allow the system to actively provide recommendation services based on the user's viewing interests, currently, collaborative filtering systems are generally used to filter videos. The collaborative filtering algorithm is different from the traditional content filtering based on direct analysis of content for recommendation. The collaborative filtering system analyzes the user’s ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method and device for object recommendation to solve the problem that when using the collaborative filtering method for recommendation in the prior art, the short-term preference of the user cannot be effectively mined, and the accuracy of the information recommended to the user is not high, which is not conducive to improving the accuracy of the user. satisfaction question

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