Mining Revenue-Maximizing Bundling Configuration

Summary: Data-driven bundling configuration to maximize revenue from user preference data; NP-hard for bundles larger than two items. Optimal for 2-item bundles; proposes two heuristics for larger bundles, with evaluation on real-life rating-based data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11171
Venue: VLDB
Year: 2015
Pagerank: 4.3006524e-05
Overall Rank: 9,686 | 32.69%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,678	X-Blossom: Massive Parallelization of Graph Maximum Matching	2025	VLDB	4.1905499e-05

Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
36	Fast Algorithms for Mining Association Rules	1994	VLDB	0.00076114894
4,561	Constructing and Exploring Composite Items	2010	SIGMOD	6.0758276e-05

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