CHIC: A Combination-based Recommendation System
Summary: CHIC proposes a combination-based recommender for apparel to overcome the limits of similarity-based multi-item ensembles. It introduces C-Search for diverse combination discovery and demonstrates model-building and interactive demos via a mobile app. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Manasi Vartak
- 2. Samuel Madden
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,715 | A Personalized Recommendation System for NetEase Dating Site | 2014 | VLDB | 4.2951473e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13 | Mining Association Rules between Sets of Items in Large Databases | 1993 | SIGMOD | 0.0010863639 |
| 673 | Supporting Top-k Join Queries in Relational Databases | 2003 | VLDB | 0.00018325667 |
| 802 | Evaluating Top-k Selection Queries | 1999 | VLDB | 0.00016440813 |
| 1,207 | RankSQL: Query Algebra and Optimization for Relational Top-k Queries | 2005 | SIGMOD | 0.0001327437 |
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