Mengsi Liu

Information Systems · 2016

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 9 citations into it
• Artificial Intelligence — 7 citations into it
• Recommender Systems — 5 citations into it

Whom Mengsi Liu trusts overall

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

1. Santosh Kabbur
2. Zan Huang
3. Yehuda Koren
4. Steffen Rendle
5. Rong Pan

Papers from Mengsi Liu's perspective

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

1. Collaborative Filtering for Implicit Feedback Datasets
2. One-Class Collaborative Filtering
3. Factor in the neighbors: Scalable and accurate collaborative filtering
4. CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering
5. BPR: Bayesian Personalized Ranking from Implicit Feedback
6. Factorization Machines with libFM
7. A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce (IEEE Intelligent Systems)
8. FISM: factored item similarity models for top-N recommender systems (Knowledge Discovery and Data Mining)
9. Adaptive Bayesian personalized ranking for heterogeneous implicit feedbacks
10. Improving regularized singular value decomposition for collaborative filtering

Their papers

• Transfer Learning for Heterogeneous One-Class Collaborative Filtering (2016) — 48 citations