Jia Hu
Information Systems · with Chen · 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 Jia Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jia Hu overall
Papers from Jia Hu's perspective
Ordered by how strongly the researchers Jia Hu trusts endorse each paper. Same corpus, a different order for every researcher.
- Using collaborative filtering to weave an information tapestry
- Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
- Weighted Low-Rank Approximations
- Amazon.com Recommendations: Item-to-Item Collaborative Filtering
- Collaborative Filtering for Implicit Feedback Datasets
- Item-to-Item Collaborative Filtering
- Fab: content-based, collaborative recommendation
- Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments (Conference on Uncertainty in Artificial Intelligence)
- One-Class Collaborative Filtering
- Optimizing search engines using clickthrough data
Their papers
- Improving one-class collaborative filtering by incorporating rich user information (2010) — 140 citations