A social relationship recommendation method and system

Abstract

A social relationship recommendation method and system, the method comprising: the social relationship recommendation system acquires music behavior data of a user, calculates the user's preference value for each music label according to the music behavior data, and calculates the user's preference for each music label The degree value calculates the music similarity between users, and makes user recommendations for the current user who is ready to accept recommendations according to the music similarity between users. In addition, the social relationship recommendation system can also obtain the intimacy between users according to the user relationship chain data and / or user interaction data, and recommend users according to the music similarity and intimacy between users. By adopting the social relationship recommendation method and system of the present invention, users can use more accurate and effective user recommendation information to explore social relationships in the music field, which improves the efficiency of establishing social relationships in Internet social music services and reduces the number of users establishing social relationships. time cost.

Description

technical field [0001] The present invention relates to the field of information technology, in particular to a social relationship recommendation method and system. Background technique [0002] A social music service is an Internet service that combines music and social networking functions. When users of social music services use this type of service, they usually need to find other users who have a certain relationship with themselves or have the same music hobby, and build a social relationship with them, so as to get their music content from other users, or Spread your favorite music content to it. [0003] Existing Internet social music services usually use users to search for other users' names, genders, and ages, or submit data such as their favorite singers, songs, and song types, and then select similar data from the data submitted by users. explore and recommend social relationships in the way of other users. [0004] When using the above-mentioned method of t...

AI Technical Summary

Problems solved by technology

[0004] When using the above-mentioned method of the prior art to explore and recommend social relationships, since most ordinary music users often cannot accurately describe and submit information such as the names and music hobbies of other users who wish to build social relationships, users will not be able to use social music. It takes a high selection cost to choose users who want to establish a music social relationship among the user groups selected and recommended by the service system. Other users of the relationship, wasting a lot of time and other related resources of Internet social music service users

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