The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Advances in Collaborative Filtering
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Citations
Cites
Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276
Item-based collaborative filtering recommendation algorithms
Sarwar, B., Karypis, G., Konstan, J., & Riedl, J. (2001) · Proceedings of the 10th international conference on World Wide Web · doi:10.1145/371920.372071 · Cited by 9,135
Amazon.com recommendations: item-to-item collaborative filtering
Linden, G., Smith, B., & York, J. (2003) · IEEE Internet Computing · doi:10.1109/mic.2003.1167344 · Cited by 5,403
Restricted Boltzmann machines for collaborative filtering
Salakhutdinov, R., Mnih, A., & Hinton, G. (2007) · Proceedings of the 24th international conference on Machine learning · doi:10.1145/1273496.1273596 · Cited by 1,885
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
Cited by
A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields
Ko, H., Lee, S., Park, Y., & Choi, A. (2022) · Electronics · doi:10.3390/electronics11010141 · Cited by 658
Sequential User-based Recurrent Neural Network Recommendations
Donkers, T., Loepp, B., & Ziegler, J. (2017) · Proceedings of the Eleventh ACM Conference on Recommender Systems · doi:10.1145/3109859.3109877 · Cited by 359
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection
Zhang, S., Yin, H., Chen, T., Hung, Q. V. N., Huang, Z., & Cui, L. (2020) · Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval · doi:10.1145/3397271.3401165 · Cited by 175
User Simulation for Evaluating Information Access Systems
Balog, K., & Zhai, C. (2024) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000098 · Cited by 52
Item Response Theory: A Statistical Framework for Educational and Psychological Measurement
Chen, Y., Li, X., Liu, J., & Ying, Z. (2025) · Statistical Science · doi:10.1214/23-sts896 · Cited by 30
Metadata
- Authors
- Koren, Y., & Bell, R.
- Venue
- Recommender Systems Handbook
- Publisher
- Springer US
- Published
- 2015
- Pages
- 77-118
- OpenAlex
- W4249267926
- Cited by
- 497
- References
- 5
- FWCI
- 106.08
- Type
- book chapter
- Language
- en
- Open access
- closed
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Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Advances in Collaborative Filtering. https://app.cochat.ai/papers/10.1007/978-1-4899-7637-6_3
- The paper
- Koren, Y., & Bell, R. (2015). Advances in Collaborative Filtering. Recommender Systems Handbook. https://doi.org/10.1007/978-1-4899-7637-6_3
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.
