The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Two Decades of Recommender Systems at Amazon.com
Abstract
Amazon is well-known for personalization and recommendations, which help customers discover items they might otherwise not have found. In this update to their original paper, the authors discuss some of the changes as Amazon has grown.
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Citations
Cites
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
Self-citation
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
Emerging Technology and Business Model Innovation: The Case of Artificial Intelligence
Lee, J., Suh, T., Roy, D., & Baucus, M. (2019) · Journal of Open Innovation: Technology, Market, and Complexity · doi:10.3390/joitmc5030044 · Cited by 441
Artificial Intelligence as Augmenting Automation: Implications for Employment
Tschang, F. T., & Almirall, E. (2021) · Academy of Management Perspectives · doi:10.5465/amp.2019.0062 · Cited by 409
Deep Item-based Collaborative Filtering for Top-N Recommendation
Xue, F., He, X., Wang, X., Xu, J., Liu, K., & Hong, R. (2019) · ACM Transactions on Information Systems · doi:10.1145/3314578 · Cited by 339
Recommender Systems: Techniques, Applications, and Challenges
Ricci, F., Rokach, L., & Shapira, B. (2022) · Recommender Systems Handbook · doi:10.1007/978-1-0716-2197-4_1 · Cited by 214
Metadata
- Authors
- Smith, B., & Linden, G.
- Venue
- IEEE Internet Computing
- Published
- 2017-05
- Volume
- 21
- Issue
- 3
- Pages
- 12-18
- ISSN
- 1089-7801 (ISSN-L)
- OpenAlex
- W2614794251
- Cited by
- 653
- References
- 2
- FWCI
- 99.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- Smith, B., & Linden, G. (2017). Two Decades of Recommender Systems at Amazon.com. IEEE Internet Computing. https://doi.org/10.1109/mic.2017.72
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.
