SI2P: A Restaurant Recommendation System Using Preference Queries over Incomplete Information
Summary: SI2P is a browser–server restaurant recommender that evaluates skyline and top-k dominating preference queries over incomplete ratings. An extended PostgreSQL backend supports interactive query submission, explanations, and incremental dataset exploration on TripAdvisor data. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Xiaoye Miao (Zhejiang University)
- 2. Yunjun Gao (Zhejiang University)
- 3. Gang Chen (Zhejiang University)
- 4. Huiyong Cui (Zhejiang University)
- 5. Chong Guo (Zhejiang University)
- 6. Weida Pan (Zhejiang University)
BibTeX Citation
@article{miao_vldb16,
title = {{SI2P: A Restaurant Recommendation System Using Preference Queries over Incomplete Information}},
author = {Miao, Xiaoye and Gao, Yunjun and Chen, Gang and Cui, Huiyong and Guo, Chong and Pan, Weida},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {13},
pages = {1509},
doi = {10.14778/3007263.3007296},
url = {https://doi.org/10.14778/3007263.3007296},
year = {2016}
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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 |
|---|---|---|---|---|
| 1,338 | Preference SQL - Design, Implementation, Experiences | 2002 | VLDB | 0.00011117197 |
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