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
Factors influencing willingness to provide personal information for personalized recommendations
Kim, M. S., & Kim, S. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.06.031 · Cited by 78
Membership Inference Attacks Against Recommender Systems
Zhang, M., Ren, Z., Wang, Z., Ren, P., Chen, Z., Hu, P., & Zhang, Y. (2021) · Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/3460120.3484770 · Cited by 76
On recommendation of learning objects using Felder–Silverman learning style model
Nafea, S. M., Siewe, F., & He, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2935417 · Cited by 75
Review of Extracting Information From the Social Web for Health Personalization
Fernandez-Luque, L., Karlsen, R., & Bonander, J. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1432 · Cited by 61
Wang, Y.-Y., Luse, A., Townsend, A. M., & Mennecke, B. E. (2015) · Information Systems and e-Business Management · doi:10.1007/s10257-014-0269-9 · Cited by 54
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation
He, Y., Wang, Z., Cui, P., Zou, H., Zhang, Y., Cui, Q., & Jiang, Y. (2022) · Proceedings of the ACM Web Conference 2022 · doi:10.1145/3485447.3511969 · Cited by 50
Cross-domain recommendation with user personality
Wang, H., Zuo, Y., Li, H., & Wu, J. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2020.106664 · Cited by 37
On the Detection of Shilling Attacks in Federated Collaborative Filtering
Jiang, Y., Zhou, Y., Wu, D., Li, C., & Wang, Y. (2020) · 2020 International Symposium on Reliable Distributed Systems (SRDS) · doi:10.1109/srds51746.2020.00026 · Cited by 22
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
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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.
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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.
