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From Group Recommendations to Group Formation

Summary: Framework for forming user groups to maximize satisfaction under LM/AV semantics for group top-k recommendations. Shows NP-hardness of optimal group formation; provides two efficient LM algorithms with bounded absolute error and scalable AV heuristics, validated on large real datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5065
Venue
SIGMOD
Year
2015
Pagerank
5.0670573e-05
Overall Rank
6,427 | 55.29%
DOI
10.1145/2723372.2749448

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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
3,802 Group Recommendation: Semantics and Efficiency 2009 VLDB 6.7552492e-05
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