2012 CirclebasedRecommendationinOnli

• (Yang et al., 2012) ⇒ Xiwang Yang, Harald Steck, and Yong Liu. (2012). “Circle-based Recommendation in Online Social Networks.” In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012). doi:10.1145/2339530.2339728

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222012%22+Circle-based+Recommendation+in+Online+Social+Networks
• http://dl.acm.org/citation.cfm?id=2339530.2339728&preflayout=flat#citedby

Quotes

Author Keywords

• Collaborative filtering; data mining; friends circles; online social networks; recommender systems

Abstract

Online social network information promises to increase recommendation accuracy beyond the capabilities of purely rating / [[feedback-driven recommender systems (RS)]]. As to better serve users' activities across different domains, many online social networks now support a new feature of “Friends Circles ", which refines the domain-oblivious " Friends " concept. RS should also benefit from domain-specific “Trust Circles". Intuitively, a user may trust different subsets of friends regarding different domains. Unfortunately, in most existing multi-category rating datasets, a user's social connections from all categories are mixed together. This paper presents an effort to develop circle-based RS. We focus on inferring category-specific social trust circles from available rating data combined with social network data. We outline several variants of weighting friends within circles based on their inferred expertise levels. Through experiments on publicly available data, we demonstrate that the proposed circle-based recommendation models can better utilize user's social trust information, resulting in increased recommendation accuracy.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2012 CirclebasedRecommendationinOnli	Harald Steck Xiwang Yang Yong Liu			Circle-based Recommendation in Online Social Networks				10.1145/2339530.2339728		2012