Recommendation method and device and storage medium

Abstract

The invention relates to the technical field of Internet, and discloses a recommendation method and device and a storage medium, which are used for improving the accuracy of recommending a user-interested project to a user so as to improve the user experience. The method comprises the steps of obtaining candidate items to be recommended to a social platform user; aiming at at at least one target social object in each type of social relation in at least two different types of social relations of the social platform user in the social platform, respectively determining a single attention degree of the target social object to the candidate project; according to the single attention degree of each target social contact object to the candidate project, determining the comprehensive attention degree of different types of target social contact objects to the candidate project; and determining whether to recommend the candidate item to the social platform user according to the comprehensive attention.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to a recommendation method, device and storage medium. Background technique [0002] With the continuous development of Internet technology, various types of projects on the Internet have grown rapidly to meet the needs of users for information in the information age. Projects on the Internet refer to data information used in the Internet for user consumption, participation, and behavioral interaction. For example, commodities, articles, advertisements, and virtual information, etc. However, different users have different needs for items. However, the existing recommendation schemes only consider the information of some of the friends of the user. However, the user does not necessarily have the same or similar preferences as these friends. It is impossible to obtain accurate user preferences only from the perspective of friends. Preference information, therefore, in th...

AI Technical Summary

Problems solved by technology

However, the existing recommendation schemes only consider the information of some of the friends of the user. However, the user does not necessarily have the same or similar preferences as these friends. It is impossible to obtain accurate user preferences only from the perspective of friends. Preference information, therefore, the existing technology has technical problems such as low item recommendation accuracy and affecting user experience

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