2014 COMAGenerativeModelforGroupReco

• (Yuan et al., 2014) ⇒ Quan Yuan, Gao Cong, and Chin-Yew Lin. (2014). “COM: A Generative Model for Group Recommendation.” In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) Journal. ISBN:978-1-4503-2956-9 doi:10.1145/2623330.2623616

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222014%22+COM%3A+A+Generative+Model+for+Group+Recommendation
• http://dl.acm.org/citation.cfm?id=2623330.2623616&preflayout=flat#citedby

Quotes

Author Keywords

• Collaborative filtering; group recommendation; information filtering; topic models

Abstract

With the rapid development of online social networks, a growing number of people are willing to share their group activities, e.g. having dinners with colleagues, and watching movies with spouses. This motivates the studies on group recommendation, which aims to recommend items for a group of users. Group recommendation is a challenging problem because different group members have different preferences, and how to make a trade-off among their preferences for recommendation is still an open problem. In this paper, we propose a probabilistic model named COM (Consensus Model) to model the generative process of group activities, and make group recommendations. Intuitively, users in a group may have different influences, and those who are expert in topics relevant to the group are usually more influential. In addition, users in a group may behave differently as group members from as individuals. COM is designed based on these intuitions, and is able to incorporate both users' selection history and personal considerations of content factors. When making recommendations, COM estimates the preference of a group to an item by aggregating the preferences of the group members with different weights. We conduct extensive experiments on four datasets, and the results show that the proposed model is effective in making group recommendations, and outperforms baseline methods significantly.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2014 COMAGenerativeModelforGroupReco	Chin-Yew Lin Gao Cong Quan Yuan			COM: A Generative Model for Group Recommendation				10.1145/2623330.2623616		2014