2012 IncorporatingHeterogeneousInfor

• (Feng & Wang, 2012) ⇒ Wei Feng, and Jianyong Wang. (2012). “Incorporating Heterogeneous Information for Personalized Tag Recommendation in Social Tagging Systems.” In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012). ISBN:978-1-4503-1462-6 doi:10.1145/2339530.2339729

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222012%22+Incorporating+Heterogeneous+Information+for+Personalized+Tag+Recommendation+in+Social+Tagging+Systems
• http://dl.acm.org/citation.cfm?id=2339530.2339729&preflayout=flat#citedby

Quotes

Author Keywords

• Information filtering; recommender system; retrieval models; [[selection process; social tagging system

Abstract

A social tagging system provides users an effective way to collaboratively annotate and organize items with their own tags. A social tagging system contains heterogeneous information like users' tagging behaviors, social networks, tag semantics and item profiles. All the heterogeneous information helps alleviate the cold start problem due to data sparsity. In this paper, we model a social tagging system as a multi-type graph. To learn the weights of different types of nodes and edges, we propose an optimization framework, called OptRank. OptRank can be characterized as follows: (1) Edges and nodes are represented by features. Different types of edges and nodes have different set of features. (2) OptRank learns the best feature weights by maximizing the average AUC (Area Under the ROC Curve) of the tag recommender. We conducted experiments on two publicly available datasets, i.e., Delicious and Last.fm. Experimental results show that: (1) OptRank outperforms the existing graph based methods when only (user, tag, item) relation is available. (2) OptRank successfully improves the results by incorporating social network, tag semantics and item profiles.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2012 IncorporatingHeterogeneousInfor	Jianyong Wang Wei Feng			Incorporating Heterogeneous Information for Personalized Tag Recommendation in Social Tagging Systems				10.1145/2339530.2339729		2012