Rong Hu
Information Systems · with Chen · 2011–2012
A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 31 citations into it; #3,222 of 8,771 by trust here, #3,012 by citations
- Artificial Intelligence — 15 citations into it
- Management Science and Operations Research — 12 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Information Systems and Management — 9 citations into it; #1,577 of 3,842 by trust here, #2,060 by citations
- Recommender Systems — 9 citations into it
- Sociology and Political Science — 8 citations into it; #9,472 of 22,756 by trust here, #11,516 by citations
- Marketing — 5 citations into it
Whom Rong Hu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nava Tintarev
- Jonathan L. Herlocker
- J. Konstan
- Sean M. McNee
- John Riedl
- Fred D. Davis
- Gediminas Adomavicius
- Bo Sophia Xiao
- Pearl Huan Z. Pu
- Judith Masthoff
Who trusts Rong Hu overall
Papers from Rong Hu's perspective
Ordered by how strongly the researchers Rong Hu trusts endorse each paper. Same corpus, a different order for every researcher.
- Explaining collaborative filtering recommendations
- Evaluating collaborative filtering recommender systems
- Item-based collaborative filtering recommendation algorithms
- Is seeing believing?: how recommender system interfaces affect users' opinions (International Conference on Human Factors in Computing Systems)
- Analysis of recommendation algorithms for e-commerce (ACM Conference on Economics and Computation)
- Getting to know you: learning new user preferences in recommender systems
- Improving recommendation lists through topic diversification
- Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
- Tagsplanations: explaining recommendations using tags
- Effective explanations of recommendations: user-centered design
Their papers
- Evaluating recommender systems from the user’s perspective: survey of the state of the art (2012) — 400 citations
- A user-centric evaluation framework for recommender systems (2011) — 936 citations