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Group Recommendation: Semantics and Efficiency

Summary: Proposes a formal semantics for group recommendation that accounts for both group-item relevance and member disagreements. Develops scalable algorithms for group recommendations and shows that incorporating disagreements improves effectiveness, validated by MTurk user studies and MovieLens-10M experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9956
Venue
VLDB
Year
2009
Pagerank
6.7552492e-05
Overall Rank
3,802 | 73.56%
DOI
-

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
7 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0015496097
470 On Saying "Enough Already!" in SQL 1997 SIGMOD 0.00022393068
2,002 Efficient Network Aware Search in Collaborative Tagging Sites 2008 VLDB 9.818583e-05
2,217 Introduction to Recommender Systems 2008 SIGMOD 9.2690171e-05
4,105 SocialScope: Enabling Information Discovery on Social Content Sites 2009 CIDR 6.4478049e-05
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