Abstract:

In today’s social networks which take users as core, tags are important for users to mark or classify resources. In Sina microblogging website, user can freely tag himself (herself) to indicate his (her) interests and characteristics. User tags play an important role in network marketing, system recommendation and advertisement serving. For the issue that there are no tags or few tags for most users in Sina microblogging website, a method for tag prediction is proposed, which is based on interaction graph generated from actions of interaction between users. Experimental results on randomly generated test datasets show that our method for tag prediction gives better performance than the most used method.

Key words: tag prediction;microblogging;interaction relation;tag recommendation;social network