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An assessment of reproducibility and methodological issues in neural recommender systems research.

. Polytechnic University of Milan, Italy, (2020)

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Maurizio Podda

Maurizio Venturini

Maurizio Zanazzi

Maurizio Podda

Maurizio Serva

 

Другие публикации лиц с тем же именем

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