Method and system for social relationship recommendation

Abstract

The invention discloses a method and a system for social relationship recommendation. The method includes that musical behavior data of users are acquired by the social relationship recommendation system, values of preference of the users on each music tag are calculated according to the musical behavior data, inter-user musical similarity is computed according to the values of preference of the users on the music tags, and user recommendation is performed on a current use about to accept recommendation according to the inter-user musical similarity. Besides, the social relationship recommendation system can obtain inter-user intimacy according to user relationship link data and / or user interaction data statistics, and user recommendation is performed according to the inter-user musical similarity and intimacy. By the method and the system, the users can use accurate and effective user recommendation information for exploring social relationships in the music field, social relationship building efficiency in internet social music services is improved, and time cost for the users to build social relationships is reduced.

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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