The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Recommender system application developments: A survey
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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
A survey on concept drift adaptation
Gama, J., Žliobaitė, I., Bifet, A., Pechenizkiy, M., & Bouchachia, A. (2014) · ACM Computing Surveys · doi:10.1145/2523813 · Cited by 3,735
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
Cited by
Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning
Tarus, J. K., Niu, Z., & Mustafa, G. (2018) · Artificial Intelligence Review · doi:10.1007/s10462-017-9539-5 · Cited by 490
Tarus, J. K., Niu, Z., & Yousif, A. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.02.049 · Cited by 284
Machine learning algorithms for social media analysis: A survey
T.K., B., Annavarapu, C. S. R., & Bablani, A. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100395 · Cited by 276
Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research Directions
Sarker, I. H., Hoque, M. M., Uddin, M. K., & Alsanoosy, T. (2021) · Mobile Networks and Applications · doi:10.1007/s11036-020-01650-z · Cited by 207
Degenerate Feedback Loops in Recommender Systems
Jiang, R., Chiappa, S., Lattimore, T., György, A., & Kohli, P. (2019) · Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society · doi:10.1145/3306618.3314288 · Cited by 232
Metadata
- Authors
- Lu, J., Wu, D., Mao, M., Wang, W., & Zhang, G.
- Venue
- Decision Support Systems
- Publisher
- Elsevier BV
- Published
- 2015-06
- Volume
- 74
- Pages
- 12-32
- ISSN
- 0167-9236 (ISSN-L)
- OpenAlex
- W2030808931
- Cited by
- 1,578
- References
- 3
- FWCI
- 312.63
- 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.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Recommender system application developments: A survey. https://app.cochat.ai/papers/10.1016/j.dss.2015.03.008
- The paper
- Lu, J., Wu, D., Mao, M., Wang, W., & Zhang, G. (2015). Recommender system application developments: A survey. Decision Support Systems. https://doi.org/10.1016/j.dss.2015.03.008
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.
