Show Me the Money: Dynamic Recommendations for Revenue Maximization
Summary: Dynamic revenue-maximizing recommendations over a finite horizon; integrates prices, valuations, saturation effects, and product competition into the RS framework. NP-hard; offers a matroid-theory–based approximation for a relaxed version and practical heuristics, with experiments showing scalability and outperforming baselines. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Wei Lu (University of British Columbia)
- 2. Shanshan Chen (University of British Columbia)
- 3. Keqian Li (University of British Columbia)
- 4. Laks V.S. Lakshmanan (University of British Columbia)
BibTeX Citation
@article{lu_vldb14,
title = {{Show Me the Money: Dynamic Recommendations for Revenue Maximization}},
author = {Lu, Wei and Chen, Shanshan and Li, Keqian and Lakshmanan, Laks V.S.},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {14},
pages = {1785--1796},
doi = {10.14778/2733085.2733097},
url = {https://doi.org/10.14778/2733085.2733097},
year = {2014}
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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 |
|---|---|---|---|---|
| 2,908 | Social Content Matching in MapReduce | 2011 | VLDB | 7.8645705e-05 |
| 7,137 | A Distributed Algorithm for Large-Scale Generalized Matching | 2013 | VLDB | 5.580601e-05 |
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