Group activity recommendation method and system, electronic equipment and readable storage medium

Abstract

The invention discloses a group activity recommendation method and system, electronic equipment and a readable storage medium; the method comprises the steps: predicting the preference probability of members in a group for candidate activities according to historical group activity information, thereby obtaining a personal preference activity sequence of the members; obtaining a group recommendation activity set and scores of group recommendation activities according to the personal preference activity sequence; obtaining a fuzzy preference relation matrix of the members for the recommended activities of any two groups according to the scores of the members for the recommended activities of each group, and obtaining a consensus matrix of the groups according to the fuzzy preference relation matrix of any two members so as to obtain an average consensus degree of the groups; and according to the average consensus degree of the group, obtaining members deviating from the consensus degree in the group and group recommendation activities not reaching the target consensus degree, and adjusting the members and the group recommendation activities to obtain an optimal group activity recommendation result. According to the method, the recommendation result has a higher member consensus degree and can be accepted by group members more easily.

Description

Technical field [0001] The present invention belongs to the field of group movement recommendation, in particular, to a group activity recommendation method, system, electronic device, and readable storage medium. Background technique [0002] The statement of this section is merely the background technology information associated with the present invention, which is not necessarily constituted in prior art. [0003] With the rapid development of the Internet, simple online interactions can no longer meet the needs of users, and mobile social intercourse uses social activities from virtual network space to real physical world, making it more convenient and deeply integrated into people's lives. middle. Based on the online activities, participate in the population trend of social networks in groups, and for groups, it is urgent to be a problem to be solved for the group's activities. [0004] In the study, it was found that the recommendation of the group movement faced a big chal...

AI Technical Summary

Problems solved by technology

[0006] In response to the above problems, the previous group recommendation methods focused on the aggregation or fusion of the personal preferences of members in the group, or learned the preferences of the group members by training a neural network model, and completed the recommendation for the group. However, in each In the species group recommendation method, the interaction between mobile group members and the dynamic decision-making process are difficult to form input, and are represented by training models, and also face the problems of generalization and training

In short, group-oriented recommendations are not ideal

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