Bart P. Knijnenburg
Sociology and Political Science · 2012–2015
A researcher in the Science corpus: 4 papers; trusts 47 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 59 citations into it
- Information Systems — 55 citations into it; #7,079 of 8,771 by trust here, #3,198 by citations
- Information Systems and Management — 32 citations into it
- Artificial Intelligence — 30 citations into it
- Management Science and Operations Research — 27 citations into it
- Marketing — 25 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
- Recommender Systems — 11 citations into it
Whom Bart P. Knijnenburg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yehuda Koren
- J. Konstan
- Pearl Huan Z. Pu
- Li Chen
- Nava Tintarev
- Dennis L. Jackson
- V. Venkatesh
- Fred D. Davis
- John Riedl
- Sean M. McNee
Who trusts Bart P. Knijnenburg overall
- Li Chen
- Chun-Hua Tsai
- Pearl Huan Z. Pu
- Martijn C. Willemsen
- Flavius Kehr
- Pedro G. Campos
- Tobias Schnabel
- Alfred Kobsa
- Peter Brusilovsky
- Daizhuo Chen
Papers from Bart P. Knijnenburg's perspective
Ordered by how strongly the researchers Bart P. Knijnenburg trusts endorse each paper. Same corpus, a different order for every researcher.
- Explaining collaborative filtering recommendations
- Evaluating collaborative filtering recommender systems
- Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
- User Acceptance of Information Technology: Toward a Unified View (MIS Q.)
- Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
- Improving recommendation lists through topic diversification
- Is seeing believing?: how recommender system interfaces affect users' opinions (International Conference on Human Factors in Computing Systems)
- Hybrid Recommender Systems: Survey and Experiments
- Item-based collaborative filtering recommendation algorithms
- Being accurate is not enough: how accuracy metrics have hurt recommender systems (CHI Extended Abstracts)
Their papers
- Evaluating Recommender Systems with User Experiments (2015) — 185 citations
- Counteracting the Negative Effect of Form Auto-completion on the Privacy Calculus (2013) — 40 citations
- Inspectability and control in social recommenders (2012) — 163 citations
- Explaining the user experience of recommender systems (2012) — 879 citations