A Personalized Recommendation System for NetEase Dating Site

Summary: Regression-based hybrid recommender for dating; personalizes beyond hot users, handling long-tail and cold-start via matching degree and activity. Real-site experiments show better accuracy and efficiency than a baseline prioritizing active users. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 10871
Venue: VLDB
Year: 2014
Pagerank: 4.299267e-05
Overall Rank: 9,716 | 32.41%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,788	Streaming View: An Efficient Data Processing Engine for Modern Real-time Data Warehouse of Alibaba Cloud	2025	VLDB	4.1945683e-05

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
1,800	epiC: an Extensible and Scalable System for Processing Big Data	2014	VLDB	0.00010512649
5,931	CHIC: A Combination-based Recommendation System	2013	SIGMOD	5.2676226e-05

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