The DOI matches its Crossref record.
Recommender Systems
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
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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.
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Citations
Cited by
Text Classification Algorithms: A Survey
Kowsari, K., Jafari Meimandi, K., Heidarysafa, M., Mendu, S., Barnes, L., & Brown, D. (2019) · Information · doi:10.3390/info10040150 · Cited by 1,312
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
A systematic review: machine learning based recommendation systems for e-learning
Khanal, S. S., Prasad, P. W. C., Alsadoon, A., & Maag, A. (2020) · Education and Information Technologies · doi:10.1007/s10639-019-10063-9 · Cited by 359
Chen, R., Hua, Q., Chang, Y.-S., Wang, B., Zhang, L., & Kong, X. (2018) · IEEE Access · doi:10.1109/access.2018.2877208 · Cited by 312
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
- Aggarwal, C. C.
- Venue
- Springer eBooks
- Publisher
- Springer International Publishing
- Published
- 2016
- OpenAlex
- W4248672808
- Cited by
- 931
- References
- 0
- FWCI
- 94.79
- Type
- book
- 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.
What counts as a claim ›How we measure confidence ›How we check this ›
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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: Recommender Systems. https://app.cochat.ai/papers/10.1007/978-3-319-29659-3
- The paper
- Aggarwal, C. C. (2016). Recommender Systems. Springer eBooks. https://doi.org/10.1007/978-3-319-29659-3
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.
