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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
10147
Venue
VLDB
Year
2009
Pagerank
7.2609441e-05
Overall Rank
3,608 | 75.25%
DOI
10.14778/1687627.1687713

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ameryahia_vldb09,
        title = {{Group Recommendation: Semantics and Efficiency}},
        author = {Amer-Yahia, Sihem and Roy, Senjuti Basu and Chawla, Ashish and Das, Gautam and Yu, Cong},
        journal = {PVLDB},
        series = {{VLDB} '09},
        doi = {10.14778/1687627.1687713},
        url = {https://doi.org/10.14778/1687627.1687713},
        year = {2009}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010828372
380 On Saying "Enough Already!" in SQL 1997 SIGMOD 0.00019563191
2,200 Efficient Network-Aware Search in Collaborative Tagging Sites 2008 VLDB 8.9664473e-05
2,487 Introduction to Recommender Systems 2008 SIGMOD 8.5137983e-05
4,350 SocialScope: Enabling Information Discovery on Social Content Sites 2009 CIDR 6.7499856e-05
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