The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Facing the cold start problem in recommender systems
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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
Supervised Machine Learning: A Review of Classification Techniques
Kotsiantis, S. B. (2007) · Informatica · Cited by 4,185
(2011) · Springer eBooks · doi:10.1007/978-0-387-85820-3 · Cited by 3,761
Verbs semantics and lexical selection
Wu, Z., & Palmer, M. (1994) · Proceedings of the 32nd annual meeting on Association for Computational Linguistics - · doi:10.3115/981732.981751 · Cited by 3,136
Relevance feedback in information retrieval
Rocchio, J. J. (1971) · Medical Entomology and Zoology · Cited by 2,680
Content-Based Recommendation Systems
Pazzani, M. J., & Billsus, D. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-72079-9_10 · Cited by 2,600
An Algorithmic Framework for Performing Collaborative Filtering
Herlocker, J. L., Konstan, J. A., Borchers, A., & Riedl, J. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130372 · Cited by 2,512
Item-based top-N recommendation algorithms
Deshpande, M., & Karypis, G. (2004) · ACM Transactions on Information Systems · doi:10.1145/963770.963776 · Cited by 2,164
Collaborative Filtering Recommender Systems
Schafer, J. B., Frankowski, D., Herlocker, J., & Sen, S. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-72079-9_9 · Cited by 2,120
An algorithmic framework for performing collaborative filtering
Herlocker, J. L., Konstan, J. A., Borchers, A., & Riedl, J. (1999) · Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/312624.312682 · Cited by 2,011
Cited by
Pliakos, K., Joo, S.-H., Park, J. Y., Cornillie, F., Vens, C., & Van den Noortgate, W. (2019) · Computers & Education · doi:10.1016/j.compedu.2019.04.009 · Cited by 149
Hasan, M., & Roy, F. (2019) · Big Data and Cognitive Computing · doi:10.3390/bdcc3030039 · Cited by 28
Peng, B., Ling, X., Chen, Z., Sun, H., & Ning, X. (2024) · arXiv · doi:10.48550/arxiv.2402.08831 · Cited by 21
Metadata
- Authors
- Lika, B., Kolomvatsos, K., & Hadjiefthymiades, S.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 41
- Issue
- 4
- Pages
- 2065-2073
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2009415795
- Cited by
- 658
- References
- 35
- FWCI
- 74.08
- Type
- journal article
- 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.
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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: Facing the cold start problem in recommender systems. https://app.cochat.ai/papers/10.1016/j.eswa.2013.09.005
- The paper
- Lika, B., Kolomvatsos, K., & Hadjiefthymiades, S. (2014). Facing the cold start problem in recommender systems. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2013.09.005
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.
