A Personalized Recommendation System for NetEase Dating Site
Summary: NetEase’s dating recommender uses regression-based hybrid ranking over matching, attractiveness, activity, sincerity, popularity, and enthusiasm. It explicitly targets personalization, long-tail coverage, and cold-start users, outperforming recency-biased ranking on a real deployment. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chaoyue Dai (NetEase, Inc.)
- 2. Feng Qian (NetEase, Inc.)
- 3. Wei Jiang (NetEase, Inc.)
- 4. Zhoutian Wang (NetEase, Inc.)
- 5. Zenghong Wu (NetEase, Inc.)
BibTeX Citation
@article{dai_vldb14,
title = {{A Personalized Recommendation System for NetEase Dating Site}},
author = {Dai, Chaoyue and Qian, Feng and Jiang, Wei and Wang, Zhoutian and Wu, Zenghong},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
doi = {10.14778/2733004.2733080},
url = {https://doi.org/10.14778/2733004.2733080},
year = {2014}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,017 | Streaming View: An Efficient Data Processing Engine for Modern Real-time Data Warehouse of Alibaba Cloud | 2025 | VLDB | 5.093636e-05 |
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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 |
|---|---|---|---|---|
| 2,354 | epiC: an Extensible and Scalable System for Processing Big Data | 2014 | VLDB | 8.7060612e-05 |
| 6,890 | CHIC: A Combination-based Recommendation System | 2013 | SIGMOD | 5.744811e-05 |
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