Martijn C. Willemsen

Information Systems · 2012–2017

A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 42 citations into it; #5,539 of 8,771 by trust here, #3,198 by citations
• Sociology and Political Science — 28 citations into it
• Management Science and Operations Research — 26 citations into it
• Marketing — 22 citations into it
• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Information Systems and Management — 17 citations into it
• Experimental and Cognitive Psychology — 10 citations into it

Whom Martijn C. Willemsen trusts overall

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

1. Yehuda Koren
2. J. Konstan
3. Pearl Huan Z. Pu
4. Dennis L. Jackson
5. Bart P. Knijnenburg
6. Li Chen
7. V. Venkatesh
8. Fred D. Davis
9. John Riedl
10. Robin D. Burke

Who trusts Martijn C. Willemsen overall

1. Bart P. Knijnenburg
2. Li Chen
3. Pearl Huan Z. Pu
4. Pedro G. Campos
5. Tobias Schnabel

Papers from Martijn C. Willemsen's perspective

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

1. Explaining collaborative filtering recommendations
2. Evaluating collaborative filtering recommender systems
3. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
4. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
5. Improving recommendation lists through topic diversification
6. Is seeing believing?: how recommender system interfaces affect users' opinions (International Conference on Human Factors in Computing Systems)
7. Hybrid Recommender Systems: Survey and Experiments
8. Comparing Recommendations Made by Online Systems and Friends (DELOS Workshops / Conferences)
9. User Acceptance of Information Technology: Toward a Unified View (MIS Q.)
10. Being accurate is not enough: how accuracy metrics have hurt recommender systems (CHI Extended Abstracts)

Their papers

• Process-Tracing Methods in Decision Making: On Growing Up in the 70s (2017) — 104 citations
• Evaluating Recommender Systems with User Experiments (2015) — 185 citations
• Explaining the user experience of recommender systems (2012) — 879 citations