Can Zhu

Information Systems · 2013

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 10 citations into it
• Artificial Intelligence — 6 citations into it

Whom Can Zhu trusts

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

1. Thomas Hofmann (in Information Systems)
2. Paul Resnick (in Recommender Systems)
3. Yehuda Koren (in Information Systems)
4. C. Volinsky (in Information Systems)

Papers from Can Zhu's perspective

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

1. Latent semantic models for collaborative filtering
2. An open architecture for collaborative filtering of netnews
3. Weighted Low-Rank Approximations
4. Categories and Subject Descriptors
5. Collaborative Filtering for Implicit Feedback Datasets
6. Relational learning via collective matrix factorization
7. BPR: Bayesian Personalized Ranking from Implicit Feedback
8. Matrix Factorization Techniques for Recommender Systems
9. SoRec: social recommendation using probabilistic matrix factorization
10. Factorizing personalized Markov chains for next-basket recommendation (The Web Conference)

Their papers

• Personalized recommendation via cross-domain triadic factorization (2013) — 273 citations