Learning to Rank in Session-Based Recommender Systems
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-42559-2_6
Reference86 articles.
1. Hang Li. "Learning to rank for information retrieval and natural language processing." Synthesis lectures on human language technologies 7, no. 3 (2014): 1-121. https://doi.org/10.1007/978-3-031-02155-8
2. Ming Chen, and Xiuze Zhou. "DeepRank: Learning to rank with neural networks for recommendation." Knowledge-Based Systems 209 (2020): 106478. https://doi.org/10.1016/j.knosys.2020.106478
3. Tie-Yan Liu. "Learning to Rank for Information Retrieval.", Springer Berlin Heidelberg, 2011. https://doi.org/10.1007/978-3-642-14267-3
4. Chengxiang Zhai, and John Lafferty. "A study of smoothing methods for language models applied to information retrieval." ACM Transactions on Information Systems (TOIS) 22, no. 2 (2004): 179-214. https://doi.org/10.1145/984321.984322
5. Kim Falk. Practical recommender systems. Simon and Schuster, 2019.
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