Mouzhi Ge
Information Systems · 2010–2014
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 16 citations into it; #4,405 of 8,771 by trust here, #3,540 by citations
- Artificial Intelligence — 10 citations into it; #28,577 of 35,345 by trust here, #23,731 by citations
- Computer Vision and Pattern Recognition — 6 citations into it; #13,021 of 21,575 by trust here, #12,172 by citations
Whom Mouzhi Ge trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jonathan L. Herlocker
- J. Konstan
- Jaka Demsar
- John Riedl
- Shilad Sen
- Jesse Vig
- Nava Tintarev
- Mustafa Bilgic
- Gediminas Adomavicius
- Guy Shani
Who trusts Mouzhi Ge overall
Papers from Mouzhi Ge's perspective
Ordered by how strongly the researchers Mouzhi Ge trusts endorse each paper. Same corpus, a different order for every researcher.
- Explaining collaborative filtering recommendations
- Evaluating collaborative filtering recommender systems
- Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
- Effective explanations of recommendations: user-centered design
- Tagsplanations: explaining recommendations using tags
- Collaborative Filtering and the Missing at Random Assumption
- Trust building with explanation interfaces (International Conference on Intelligent User Interfaces)
- Evaluating Recommendation Systems
- Recommender Systems: Introduction
- Explaining Recommendations: Satisfaction vs. Promotion
Their papers
- Beyond accuracy: evaluating recommender systems by coverage and serendipity (2010) — 761 citations
- How should I explain? A comparison of different explanation types for recommender systems (2014) — 343 citations