Method for improving social recommendation efficiency based on user personality

Abstract

The invention discloses a method for improving the social recommendation efficiency based on user personality. The method comprises the steps as follows: a, determining k commodities to be recommended to a target user; b, for each commodity m to be recommended, calculating the comprehensive recommendation scores of the good friends of the target user based on personalities and commodity preferences respectively, and selecting the friend with the highest score as a corresponding recommender of the commodity m; and c, notifying each recommender to recommend the corresponding commodity to the target user. According to the method, the proper recommender is selected according to the user personality features and the commodity preferences, so that the recommendation efficiency is improved; and the method has the advantages as follows: the loss in a recommendation transfer process can be further reduced, the circulation of the commodities in a social network can be further promoted, and the social recommendation efficiency can be further improved.

Description

technical field [0001] The present invention relates to the field of recommendation system research that improves the social recommendation method to improve its efficiency. Specifically, among the friends of the target user, the person who is more willing to recommend products to others in terms of psychological characteristics (referring to personality) is found as the referrer , to improve the possibility of products reaching target users, thereby improving the efficiency of social referrals. Background technique [0002] In the research on social recommendation, researchers often focus on how to use the user's social relationship to provide explanations for the recommendation results (for example, if product m appears in the system recommendation list, it will be additionally stated that m is liked by some friends), so as to increase User trustworthiness. At this stage, some researchers have begun to study the difference between the direct recommendation of the system a...

AI Technical Summary

Problems solved by technology

However, the efficiency of this friend recommendation method is still very low at present. The main reason is that the recommendation willingness of the friends themselves (hereinafter collectively referred to as the referrer) is ignored, that is, the selected referrer is not very willing to pass the relevant products to the social network, resulting in referral The efficiency of the method is much lower than the method directly recommended by the system

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