Tag-Aware Recommender Systems: A State-of-the-art Survey

Details Tag-Aware Recommender Systems: A State-of-the-art Survey Tag-Aware Recommender Systems: A State-of-the-art Survey

2012-02-27

arxiv.org/abs/1202.5820v1

Journal of Computer Science and Technology 26 (2011) 767

Computer Science

Information Retrieval

19 pages, 3 figures

Scientific paper

10.1007/s11390-011-0176-1

In the past decade, Social Tagging Systems have attracted increasing attention from both physical and computer science communities. Besides the underlying structure and dynamics of tagging systems, many efforts have been addressed to unify tagging information to reveal user behaviors and preferences, extract the latent semantic relations among items, make recommendations, and so on. Specifically, this article summarizes recent progress about tag-aware recommender systems, emphasizing on the contributions from three mainstream perspectives and approaches: network-based methods, tensor-based methods, and the topic-based methods. Finally, we outline some other tag-related works and future challenges of tag-aware recommendation algorithms.

Affiliated with

Also associated with

No associations

Rating

Tag-Aware Recommender Systems: A State-of-the-art Survey does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Tag-Aware Recommender Systems: A State-of-the-art Survey, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Tag-Aware Recommender Systems: A State-of-the-art Survey will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-262180