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Towards the Evaluation of Recommender Systems with Impressions

, , and . Sixteenth ACM Conference on Recommender Systems, ACM, (September 2022)
DOI: 10.1145/3523227.3551483

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Report on the Workshop on Learning and Evaluating Recommendations with Impressions (LERI) at RecSys 2023., , , and . SIGIR Forum, 57 (2): 19:1-19:8 (December 2023)Design and Evaluation of Cross-Domain Recommender Systems., , , , and . Recommender Systems Handbook, Springer US, (2022)An assessment of reproducibility and methodological issues in neural recommender systems research.. Polytechnic University of Milan, Italy, (2020)Quantum Computing for Information Retrieval and Recommender Systems., , , and . ECIR (5), volume 14612 of Lecture Notes in Computer Science, page 358-362. Springer, (2024)Towards Recommender Systems with Community Detection and Quantum Computing., , , and . RecSys, page 579-585. ACM, (2022)Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems., , , and . CIKM, page 355-363. ACM, (2020)Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract).. AAAI, page 15779-15780. AAAI Press, (2021)Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario., , , , , , and . RecSys Challenge, page 4:1-4:6. ACM, (2018)Methodological Issues in Recommender Systems Research (Extended Abstract)., , and . IJCAI, page 4706-4710. ijcai.org, (2020)Sister Conferences Best Papers.Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank., , , , , , , , , and . RecSys Challenge, page 7:1-7:5. ACM, (2019)