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Towards Interaction-based User Embeddings in Sequential Recommender Models.

, , , , and . ORSUM@RecSys, volume 3303 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)

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GPT3RecBot: a universal chatbot recommender of movies, books and music in Telegram., , , and . KaRS@RecSys, volume 3560 of CEUR Workshop Proceedings, page 35-43. CEUR-WS.org, (2023)Deep Image Retrieval is not Robust to Label Noise., , and . CVPR Workshops, page 4971-4976. IEEE, (2022)Anti-Exploration by Random Network Distillation., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 26228-26244. PMLR, (2023)Utilising Crowdsourcing to Assess the Effectiveness of Item-based Explanations of Merchant Recommendations., , , , and . CSW@WSDM, volume 3357 of CEUR Workshop Proceedings, page 77-86. CEUR-WS.org, (2023)Time-Dependent Next-Basket Recommendations., , , , and . ECIR (2), volume 13981 of Lecture Notes in Computer Science, page 502-511. Springer, (2023)Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters., and . ICML, volume 162 of Proceedings of Machine Learning Research, page 11729-11752. PMLR, (2022)Catalyst.RL: A Distributed Framework for Reproducible RL Research., and . CoRR, (2019)Sample Efficient Ensemble Learning with Catalyst.RL., and . CoRR, (2020)Make your next item recommendation model time sensitive., , , , and . UMAP (Adjunct Publication), page 191-195. ACM, (2023)RecBaselines2023: a new dataset for choosing baselines for recommender models., , , and . BIR@ECIR, volume 3617 of CEUR Workshop Proceedings, page 52-65. CEUR-WS.org, (2023)