The DOI matches its Crossref record.
E-Commerce Recommendation Applications
Overview
The claims and statistics of this paper haven’t been checked yet.
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Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
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Citations
Cited by
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
The business model ontology a proposition in a design science approach
Osterwalder, A. (2004) · Unknown · doi:10.22005/bcu.15985 · Cited by 1,932
E-Commerce Product Recommendation Agents: Use, Characteristics, and Impact1
Xiao, B., & Benbasat, I. (2007) · MIS Quarterly · doi:10.2307/25148784 · Cited by 1,081
How Can Recommender Systems Benefit from Large Language Models: A Survey
Lin, J., Dai, X., Xi, Y., Liu, W., Chen, B., Zhang, H., Liu, Y., Wu, C., Li, X., Zhu, C., et al. (2025) · ACM Transactions on Information Systems · doi:10.1145/3678004 · Cited by 242
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
- Schafer, J. B., Konstan, J. A., & Riedl, J.
- Venue
- Data Mining and Knowledge Discovery
- Published
- 2001-01
- Volume
- 5
- Issue
- 1-2
- Pages
- 115-153
- ISSN
- 1384-5810 (ISSN-L)
- 1573-756X
- OpenAlex
- W1570159982
- Cited by
- 1,530
- References
- 0
- FWCI
- 158.01
- Type
- journal article
- 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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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: E-Commerce Recommendation Applications. https://app.cochat.ai/papers/10.1023/a:1009804230409
- The paper
- Schafer, J. B., Konstan, J. A., & Riedl, J. (2001). E-Commerce Recommendation Applications. Data Mining and Knowledge Discovery. https://doi.org/10.1023/a%3A1009804230409
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.
