Willingness Optimization for Social Group Activity
Summary: WASO automatically selects activity attendees by jointly optimizing interest and friend-companionship willingness over social connectivity. A randomized, budget-aware algorithm avoids greedy local optima, achieving approximation guarantees and outperforming manual Facebook group formation in user studies. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Hong-Han Shuai (National Taiwan University)
- 2. De-Nian Yang (Academia Sinica)
- 3. Philip S. Yu (University of Illinois Chicago)
- 4. Ming-Syan Chen (National Taiwan University)
BibTeX Citation
@article{shuai_vldb14,
title = {{Willingness Optimization for Social Group Activity}},
author = {Shuai, Hong-Han and Yang, De-Nian and Yu, Philip S. and Chen, Ming-Syan},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {4},
pages = {253--264},
doi = {10.14778/2733004.2733007},
url = {https://doi.org/10.14778/2733004.2733007},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,792 | Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping | 2020 | VLDB | 5.093636e-05 |
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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 |
|---|---|---|---|---|
| 4,484 | Entangled Queries: Enabling Declarative Data-Driven Coordination | 2011 | SIGMOD | 6.671737e-05 |
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