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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)

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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)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)Time-Aware Item Weighting for the Next Basket Recommendations., , , and . RecSys, page 985-992. ACM, (2023)Next-basket Recommendation Constrained by Total Cost., and . ORSUM@RecSys, volume 3303 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Make your next item recommendation model time sensitive., , , , and . UMAP (Adjunct Publication), page 191-195. ACM, (2023)Next-basket Recommendation Constrained by Total Cost., , , and . ORSUM@RecSys, volume 3549 of CEUR Workshop Proceedings, CEUR-WS.org, (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)Classifying Phenotypes Based on the Community Structure of Human Brain Networks., , , , , , , and . GRAIL/MFCA/MICGen@MICCAI, volume 10551 of Lecture Notes in Computer Science, page 3-11. Springer, (2017)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)Revisiting the performance evaluation of knowledge-aware recommender systems: are we making progress?, , and . KaRS@RecSys, volume 3294 of CEUR Workshop Proceedings, page 22-28. CEUR-WS.org, (2022)