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Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework.

, , , , , , , and . IJCAI, page 6237-6245. ijcai.org, (2023)

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A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy., , , , , , and . EuroMLSys@EuroSys, page 161-168. ACM, (2024)MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks., , , , , , and . IEEE Access, (2020)Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework., , , , , , , and . IJCAI, page 6237-6245. ijcai.org, (2023)MARF: User-Item Mutual Aware Representation with Feedback., , , , , , , and . ICWE, volume 13362 of Lecture Notes in Computer Science, page 3-15. Springer, (2022)FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems., , , , , , , and . KDD, page 1234-1242. ACM, (2020)Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems., , , , , , and . IEEE Access, (2022)ALS Algorithm for Robust and Communication-Efficient Federated Learning., , , , , , and . EuroMLSys@EuroSys, page 56-64. ACM, (2024)Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation., , , , , , and . RecSys, page 438-443. ACM, (2020)