Ye Chen

Information Systems · with Hu · 2010

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 13 citations into it
• Artificial Intelligence — 6 citations into it
• Marketing — 5 citations into it

Whom Ye Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yehuda Koren
2. Rong Pan

Papers from Ye Chen's perspective

Ordered by how strongly the researchers Ye Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Using collaborative filtering to weave an information tapestry
2. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
3. Weighted Low-Rank Approximations
4. Amazon.com Recommendations: Item-to-Item Collaborative Filtering
5. Item-to-Item Collaborative Filtering
6. Collaborative Filtering for Implicit Feedback Datasets
7. Fab: content-based, collaborative recommendation
8. Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments (Conference on Uncertainty in Artificial Intelligence)
9. One-Class Collaborative Filtering
10. Optimizing search engines using clickthrough data

Their papers

• Improving one-class collaborative filtering by incorporating rich user information (2010) — 140 citations