Computer Science ›› 2015, Vol. 42 ›› Issue (8): 70-74.

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Personalized Tag Recommendation Algorithm Mixing Language Model and Topic

LI Hui, MA Xiao-ping, HU Yun and SHI Jun   

  • Online:2018-11-14 Published:2018-11-14

Abstract: More and more content on the Web is generated by users.To organize this information and make it accessible via current search technology,tagging systems have gained tremendous popularity.We introduced an approach to personalized tag recommendation that combines a probabilistic model of tags from the resource with tags from the user.In this models,we investigated simple language models as well as Latent Dirichlet Allocation.Extensive experiments on a real world dataset crawled from a big tagging system show that personalization improves tag recommendation,and our approach significantly outperforms traditional approaches.

Key words: Tag,Recommendation,Topic,Latent topic models,Personality

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