The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Collaborative Filtering Recommender Systems
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Citations
Cites
Explaining collaborative filtering recommendations
Herlocker, J. L., Konstan, J. A., & Riedl, J. (2000) · Proceedings of the 2000 ACM conference on Computer supported cooperative work · doi:10.1145/358916.358995 · Cited by 1,731
Self-citation
Cited by
Content-Based Recommendation Systems
Pazzani, M. J., & Billsus, D. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-72079-9_10 · Cited by 2,600
Introduction to Recommender Systems Handbook
Ricci, F., Rokach, L., & Shapira, B. (2011) · Recommender Systems Handbook · doi:10.1007/978-0-387-85820-3_1 · Cited by 2,378
Personalization and privacy: a survey of privacy risks and remedies in personalization-based systems
Toch, E., Wang, Y., & Cranor, L. F. (2012) · User Modeling and User-Adapted Interaction · doi:10.1007/s11257-011-9110-z · Cited by 226
A Reinforcement Learning Framework for Explainable Recommendation
Wang, X., Chen, Y., Yang, J., Wu, L., Wu, Z., & Xie, X. (2018) · 2018 IEEE International Conference on Data Mining (ICDM) · doi:10.1109/icdm.2018.00074 · Cited by 163
User behaviour modeling, recommendations, and purchase prediction during shopping festivals
Zeng, M., Cao, H., Chen, M., & Li, Y. (2019) · Electronic Markets · doi:10.1007/s12525-018-0311-8 · Cited by 78
Metadata
- Authors
- Schafer, J. B., Frankowski, D., Herlocker, J., & Sen, S.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2007-05-14
- Pages
- 291-324
- OpenAlex
- W2145360759
- Cited by
- 2,120
- References
- 1
- FWCI
- 34.17
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
