The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Alleviating the Sparsity Problem of Collaborative Filtering Using Trust Inferences
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Citations
Cites
Indexing by latent semantic analysis
Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., & Harshman, R. (1990) · Journal of the American Society for Information Science · doi:10.1002/(sici)1097-4571(199009)41:6<391::aid-asi1>3.0.co;2-9 · Cited by 12,751
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
Evaluating collaborative filtering recommender systems
Herlocker, J. L., Konstan, J. A., Terveen, L. G., & Riedl, J. T. (2004) · ACM Transactions on Information Systems · doi:10.1145/963770.963772 · Cited by 5,798
Amazon.com recommendations: item-to-item collaborative filtering
Linden, G., Smith, B., & York, J. (2003) · IEEE Internet Computing · doi:10.1109/mic.2003.1167344 · Cited by 5,403
Empirical Analysis of Predictive Algorithms for Collaborative Filtering
Breese, J. S., Heckerman, D. E., & Kadie, C. M. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1301.7363 · Cited by 4,772
On power-law relationships of the Internet topology
Faloutsos, M., Faloutsos, P., & Faloutsos, C. (1999) · Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication · doi:10.1145/316188.316229 · Cited by 4,196
Resnick, P., & Varian, H. R. (1997) · Communications of the ACM · doi:10.1145/245108.245121 · Cited by 3,772
Social information filtering: algorithms for automating “word of mouth”
Shardanand, U., & Maes, P. (1995) · Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '95 · doi:10.1145/223904.223931 · Cited by 2,823
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
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
A Survey of Recommendation Systems: Recommendation Models, Techniques, and Application Fields
Ko, H., Lee, S., Park, Y., & Choi, A. (2022) · Electronics · doi:10.3390/electronics11010141 · Cited by 658
News recommender systems – Survey and roads ahead
Karimi, M., Jannach, D., & Jugovac, M. (2018) · Information Processing & Management · doi:10.1016/j.ipm.2018.04.008 · Cited by 336
A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce
Huang, Z., Zeng, D., & Chen, H. (2007) · IEEE Intelligent Systems · doi:10.1109/mis.2007.4338497 · Cited by 299
Hasan, M., & Roy, F. (2019) · Big Data and Cognitive Computing · doi:10.3390/bdcc3030039 · Cited by 28
Metadata
- Authors
- Papagelis, M., Plexousakis, D., & Kutsuras, T.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2005
- Pages
- 224-239
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1589148151
- Cited by
- 278
- References
- 26
- FWCI
- 5.37
- Type
- conference paper
- Language
- en
- Open access
- closed
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- The paper
- Papagelis, M., Plexousakis, D., & Kutsuras, T. (2005). Alleviating the Sparsity Problem of Collaborative Filtering Using Trust Inferences. Lecture Notes in Computer Science. https://doi.org/10.1007/11429760_16
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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.
