The DOI matches its Crossref record.
An algorithmic framework for performing collaborative filtering
Open accessAbstract
% & ' ( ) * !+ , -) ./ 0 1 32 -4 5 6 1 & ) * 7 98 ": <; '= ?> <; ": A@ B DC &E )F HG I8 KJ L 9E )F NM O7 "8 QP RE 6S T> AU B <V W8 ":
Overview
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.
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
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
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
Self-citationExplaining 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-citationLessons from the Netflix prize challenge
Bell, R. M., & Koren, Y. (2007) · ACM SIGKDD Explorations Newsletter · doi:10.1145/1345448.1345465 · Cited by 727
SuggestBot: using intelligent task routing to help people find work in wikipedia
Cosley, D., Frankowski, D., Terveen, L., & Riedl, J. (2007) · Proceedings of the 12th international conference on Intelligent user interfaces · doi:10.1145/1216295.1216309 · Cited by 245
Self-citationInteractive collaborative filtering
Zhao, X., Zhang, W., & Wang, J. (2013) · Proceedings of the 22nd ACM international conference on Information & Knowledge Management · doi:10.1145/2505515.2505690 · Cited by 165
Al-Hassan, M., Lu, H., & Lu, J. (2015) · Decision Support Systems · doi:10.1016/j.dss.2015.02.001 · Cited by 136
Authorship Attribution with Topic Models
Seroussi, Y., Zukerman, I., & Bohnert, F. (2014) · Computational Linguistics · doi:10.1162/coli_a_00173 · Cited by 89
Addressing Marketing Bias in Product Recommendations
Wan, M., Ni, J., Misra, R., & McAuley, J. (2020) · Proceedings of the 13th International Conference on Web Search and Data Mining · doi:10.1145/3336191.3371855 · Cited by 81
Analysing User Reviews in Tourism with Topic Models
Rossetti, M., Stella, F., Cao, L., & Zanker, M. (2015) · Information and Communication Technologies in Tourism 2015 · doi:10.1007/978-3-319-14343-9_4 · Cited by 13
Metadata
- Authors
- Herlocker, J. L., Konstan, J. A., Borchers, A., & Riedl, J.
- Venue
- Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
- Publisher
- ACM
- Published
- 1999-08
- Pages
- 230-237
- OpenAlex
- W4232980324
- Cited by
- 2,011
- References
- 0
- FWCI
- 23.27
- Type
- conference paper
- Language
- en
- Open access
- bronze
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.