Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sumit Sidana"'
Autor:
Massih-Reza Amini, Mikhail Trofimov, Charlotte Laclau, Yury Maximov, Oleh Horodnytskyi, Sumit Sidana
Publikováno v:
Data Mining and Knowledge Discovery. 35:568-592
In this paper, we propose a novel ranking framework for collaborative filtering with the overall aim of learning user preferences over items by minimizing a pairwise ranking loss. We show the minimization problem involves dependent random variables a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc9127d684badfaafc4089a018207fd6
https://doi.org/10.1007/s10618-020-00730-8
https://doi.org/10.1007/s10618-020-00730-8
Autor:
Sumit Sidana
Publikováno v:
RecSys Challenge
A 3 month long RecSys 2020 challenge1 was organized by Twitter[1]. Various kinds of implicit feedback with varying levels of sparsity were considered. In subsequent sections, I describe my approach to address this task, which helped me land on the 4t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2e49e35cc579ecd22c28369af4b663e
https://doi.org/10.1145/3415959.3415993
https://doi.org/10.1145/3415959.3415993
Publikováno v:
RecSys
In this paper, we present a novel and publicly available dataset for online recommendation provided by Purch1. The dataset records the clicks generated by users of one of Purch's high-tech website over the ads they have been shown for one month. In a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b90d5b8033256748435cc7b3aeade303
https://doi.org/10.1145/3240323.3240400
https://doi.org/10.1145/3240323.3240400
Autor:
Massih-Reza Amini, Sihem Amer-Yahia, Sumit Sidana, Marianne Clausel, Majdeddine Rebai, Son T. Mai
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers, 2018, 30 (8), pp.1467-1480. ⟨10.1109/TKDE.2018.2795606⟩
IEEE Transactions on Knowledge and Data Engineering, Institute of Electrical and Electronics Engineers, 2018, 30 (8), pp.1467-1480. ⟨10.1109/TKDE.2018.2795606⟩
Social media has become a major source for analyzing all aspects of daily life. Thanks to dedicated latent topic analysis methods such as the Ailment Topic Aspect Model (ATAM), public health can now be observed on Twitter. In this work, we are intere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ccab2c2d1889933e8d1518a15541719
https://hal.archives-ouvertes.fr/hal-02000482
https://hal.archives-ouvertes.fr/hal-02000482
Publikováno v:
40th International ACM SIGIR conference on Research and Development in Information Retrieval
40th International ACM SIGIR conference on Research and Development in Information Retrieval, Jun 2017, Tokyo, Japan
SIGIR
40th International ACM SIGIR conference on Research and Development in Information Retrieval, Jun 2017, Tokyo, Japan
SIGIR
In this paper, we describe a novel, publicly available collection for recommendation systems that records the behavior of customers of the European leader in eCommerce advertising, Kelkoo\footnote{\url{https://www.kelkoo.com/}}, during one month. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::027947f08e701daa4ecee8a5ea6e95c6
https://hal.archives-ouvertes.fr/hal-01769768
https://hal.archives-ouvertes.fr/hal-01769768
Publikováno v:
39th International ACM SIGIR conference on Research and Development in Information Retrieval
39th International ACM SIGIR conference on Research and Development in Information Retrieval, Jul 2016, Pise, Italy
SIGIR
39th International ACM SIGIR conference on Research and Development in Information Retrieval, Jul 2016, Pise, Italy
SIGIR
Social media has become a major source for analyzing all aspects of daily life. Thanks to dedicated latent topic analysis methods such as the Ailment Topic Aspect Model (ATAM), public health can now be observed on Twitter. In this work, we are intere
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3d14209799abd45bbe0af30ce888820
https://hal.archives-ouvertes.fr/hal-01391904
https://hal.archives-ouvertes.fr/hal-01391904