Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping
Summary: Formulates SVGIC, jointly optimizing VR item displays and friend-subgroup partitions to personalize group shopping and enable social interaction. Proves strong APX-hardness and gives a 4-approximation via co-display subgroup formation, achieving ≥30.1% gains. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Shao-Heng Ko (Academia Sinica)
- 2. Hsu-Chao Lai (Academia Sinica; National Chiao Tung University)
- 3. Hong-Han Shuai (National Chiao Tung University)
- 4. Wang-Chien Lee (Pennsylvania State University)
- 5. Philip S. Yu (University of Illinois Chicago)
- 6. De-Nian Yang (Academia Sinica)
BibTeX Citation
@article{ko_vldb20,
title = {{Optimizing Item and Subgroup Configurations for Social-Aware VR Shopping}},
author = {Ko, Shao-Heng and Lai, Hsu-Chao and Shuai, Hong-Han and Lee, Wang-Chien and Yu, Philip S. and Yang, De-Nian},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {8},
pages = {1275--1289},
doi = {10.14778/3389133.3389143},
url = {https://doi.org/10.14778/3389133.3389143},
year = {2020}
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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 |
|---|---|---|---|---|
| 2,106 | Maximum Co-located Community Search in Large Scale Social Networks | 2018 | VLDB | 9.1568079e-05 |
| 5,687 | Walk, Not Wait: Faster Sampling Over Online Social Networks | 2015 | VLDB | 6.1211881e-05 |
| 6,582 | From Group Recommendations to Group Formation | 2015 | SIGMOD | 5.8364579e-05 |
| 7,925 | Heterogeneous Recommendations: What You Might Like To Read After Watching Interstellar | 2017 | VLDB | 5.5181056e-05 |
| 12,209 | Willingness Optimization for Social Group Activity | 2014 | VLDB | 5.093636e-05 |
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