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Federated Recommender Systems with Learning to Rank.

, , , , and . SEBD, volume 2994 of CEUR Workshop Proceedings, page 71-82. CEUR-WS.org, (2021)

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How to Perform Reproducible Experiments in the ELLIOT Recommendation Framework: Data Processing, Model Selection, and Performance Evaluation., , , , , , , , and . IIR, volume 2947 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews., , , , , , and . DL4SR@CIKM, volume 3317 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Link recommendations: Their impact on network structure and minorities., , , and . WebSci, page 228-238. ACM, (2022)KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs., , , , and . Trans. Recomm. Syst., 1 (4): 1-30 (December 2023)How to put users in control of their data in federated top-N recommendation with learning to rank., , , , and . SAC, page 1359-1362. ACM, (2021)Report on the 13th Italian Information Retrieval Workshop (IIR 2023)., , , and . SIGIR Forum, 57 (2): 8:1-8:12 (December 2023)Addressing Privacy in Recommender Systems with Federated Learning., , , , and . IIR, volume 3177 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)KGTORe: Tailored Recommendations through Knowledge-aware GNN Models., , , , , and . RecSys, page 576-587. ACM, (2023)Knowledge Graph Datasets for Recommendation., , , , , and . KaRS@RecSys, volume 3560 of CEUR Workshop Proceedings, page 109-117. CEUR-WS.org, (2023)Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation., , , , , , , and . SIGIR, page 2405-2414. ACM, (2021)