Zobrazeno 1 - 10
of 245
pro vyhledávání: '"Joemon M. Jose"'
Autor:
Salwa M. Althobaity, Joemon M. Jose
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031190964
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ada38ef1b2a35fcbe87d30ea96bd09e
https://doi.org/10.1007/978-3-031-19097-1_17
https://doi.org/10.1007/978-3-031-19097-1_17
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811944529
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1505d6a1f143aba700cd80967fcf37b1
https://doi.org/10.1007/978-981-19-4453-6_1
https://doi.org/10.1007/978-981-19-4453-6_1
Publikováno v:
CIKM
Data in digital form is expanding at an exponential rate, far outpacing any chance of getting any significant fraction labelled manually. This has resulted in heightened research emphasis on unsupervised learning, learning in the absence of labels. I
Publikováno v:
SIGIR
Learning user representations is a vital technique toward effective user modeling and personalized recommender systems. Existing approaches often derive an individual set of model parameters for each task by training on separate data. However, the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf252421b645bbdd98f8e3e7d3001713
http://arxiv.org/abs/2009.13724
http://arxiv.org/abs/2009.13724
Publikováno v:
SIGIR
In session-based or sequential recommendation, it is important to consider a number of factors like long-term user engagement, multiple types of user-item interactions such as clicks, purchases etc. The current state-of-the-art supervised approaches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81ab11c74caca70804c156a03c6c0714
http://arxiv.org/abs/2006.05779
http://arxiv.org/abs/2006.05779
This book comprises select proceedings of the 7th International Conference on Data Science and Engineering (ICDSE 2021). The contents of this book focus on responsible data science. This book tries to integrate research across diverse topics related
Publikováno v:
Information Retrieval Journal. 24:1-2
Publikováno v:
CHIIR
Query logs contain rich feedback information from a large number of users interacting with search engines. Various click models have been developed to decode users' search behavior and to extract useful knowledge from query logs. Although the state-o
Publikováno v:
WSDM
Learning to rank has been intensively studied and has shown great value in many fields, such as web search, question answering and recommender systems. This paper focuses on listwise document ranking, where all documents associated with the same quer
Publikováno v:
WSDM
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining-WSDM 19
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining -WSDM '19
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining-WSDM 19
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining -WSDM '19
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining
Convolutional Neural Networks (CNNs) have been recently introduced in the domain of session-based next item recommendation. An ordered collection of past items the user has interacted with in a session (or sequence) are embedded into a 2-dimensional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::768b364f8eef6053b11ea3ad8c41da67
https://eprints.gla.ac.uk/182377/2/182377.pdf
https://eprints.gla.ac.uk/182377/2/182377.pdf