( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches

, , и . Proceedings of the 13th ACM Conference on Recommender Systems, стр. 101–109. New York, NY, USA, Association for Computing Machinery, (2019)
DOI: 10.1145/3298689.3347058

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Maurizio Podda

Maurizio Venturini

Maurizio Zanazzi

Maurizio Serva

Maurizio Podda

 

Другие публикации лиц с тем же именем

An assessment of reproducibility and methodological issues in neural recommender systems research.. Polytechnic University of Milan, Italy, (2020)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)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)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)Methodological Issues in Recommender Systems Research (Extended Abstract)., , и . IJCAI, стр. 4706-4710. ijcai.org, (2020)Sister Conferences Best Papers.Eigenvalue analogy for confidence estimation in item-based recommender systems., и . CoRR, (2018)