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Towards Interaction-based User Embeddings in Sequential Recommender Models.

, , , , и . ORSUM@RecSys, том 3303 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)

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Sergey Libert

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Catalyst.RL: A Distributed Framework for Reproducible RL Research., и . CoRR, (2019)Make your next item recommendation model time sensitive., , , , и . UMAP (Adjunct Publication), стр. 191-195. ACM, (2023)Sample Efficient Ensemble Learning with Catalyst.RL., и . CoRR, (2020)Next-basket Recommendation Constrained by Total Cost., , , и . ORSUM@RecSys, том 3549 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)RecBaselines2023: a new dataset for choosing baselines for recommender models., , , и . BIR@ECIR, том 3617 из CEUR Workshop Proceedings, стр. 52-65. CEUR-WS.org, (2023)GPT3RecBot: a universal chatbot recommender of movies, books and music in Telegram., , , и . KaRS@RecSys, том 3560 из CEUR Workshop Proceedings, стр. 35-43. CEUR-WS.org, (2023)Deep Image Retrieval is not Robust to Label Noise., , и . CVPR Workshops, стр. 4971-4976. IEEE, (2022)Anti-Exploration by Random Network Distillation., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 26228-26244. PMLR, (2023)Time-Dependent Next-Basket Recommendations., , , , и . ECIR (2), том 13981 из Lecture Notes in Computer Science, стр. 502-511. Springer, (2023)Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters., и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 11729-11752. PMLR, (2022)