The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Recommender Systems Handbook
Overview
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Citations
Cites
Pan, S. J., & Yang, Q. (2010) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2009.191 · Cited by 23,387
Cited by
The use of machine learning algorithms in recommender systems: a systematic review
Portugal, I., Alencar, P., & Cowan, D. (2018) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.12.020 · Cited by 743
Notions of explainability and evaluation approaches for explainable artificial intelligence
Vilone, G., & Longo, L. (2021) · Information Fusion · doi:10.1016/j.inffus.2021.05.009 · Cited by 598
Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition
Chun, W. H. K., & Barnett, A. (2021) · The MIT Press eBooks · doi:10.7551/mitpress/14050.001.0001 · Cited by 429
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
Hierarchical Gating Networks for Sequential Recommendation
Ma, C., Kang, P., & Liu, X. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining · doi:10.1145/3292500.3330984 · Cited by 322
Metadata
- Venue
- Springer eBooks
- Publisher
- Springer US
- Published
- 2015
- OpenAlex
- W2908054697
- Cited by
- 1,550
- References
- 1
- FWCI
- 148.08
- Type
- book
- 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.
Statistics and arithmetic are recomputed, not judged.
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- Recommender Systems Handbook. (2015). Springer eBooks. https://doi.org/10.1007/978-1-4899-7637-6
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.