Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Ioannis, Arapakis"'
Publikováno v:
IEEE Access, Vol 9, Pp 100173-100184 (2021)
Modern recommender systems (RS) work by processing a number of signals that can be inferred from large sets of user-item interaction data. The main signal to analyze stems from the raw matrix that represents interactions. However, we can increase the
Externí odkaz:
https://doaj.org/article/6f847c6fa75e4a66a8b888cfb9677080
Autor:
Luis A. Leiva, Ioannis Arapakis
Publikováno v:
Frontiers in Human Neuroscience, Vol 14 (2020)
Externí odkaz:
https://doaj.org/article/cef43761653c4f95a8ec8ddb943e2aa9
Autor:
Stefanos Vrochidis, Anastasia Moumtzidou, Ilias Gialampoukidis, Dimitris Liparas, Gerard Casamayor, Leo Wanner, Nicolaus Heise, Tilman Wagner, Andriy Bilous, Emmanuel Jamin, Boyan Simeonov, Vladimir Alexiev, Reinhard Busch, Ioannis Arapakis, Ioannis Kompatsiaris
Publikováno v:
Frontiers in Robotics and AI, Vol 5 (2018)
Analysts and journalists face the problem of having to deal with very large, heterogeneous, and multilingual data volumes that need to be analyzed, understood, and aggregated. Automated and simplified editorial and authoring process could significant
Externí odkaz:
https://doaj.org/article/3e185a801389489da47cfe722c5db7ba
Publikováno v:
SIGIR
Searchers often make a choice in a matter of seconds on SERPs. As a result of a dynamic cognitive process, choice is ultimately reflected in motor movement and thus can be modeled by tracking the computer mouse. However, because not all movements hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94946746a332cf4c5b2e268eba05dc75
https://doi.org/10.1145/3404835.3463055
https://doi.org/10.1145/3404835.3463055
Publikováno v:
IEEE Transactions on Affective Computing. 10:100-114
Objective measurements of engagement are increasingly sought after by both the media industry and scholar communities to explain what drives people to consume audiovisual contents. However, engagement is a complex construct that, at the psychological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f40a9181c0fa7c4a49be2bb664c7e12
https://doi.org/10.1109/taffc.2017.2682089
https://doi.org/10.1109/taffc.2017.2682089
Publikováno v:
CHIIR
Traditionally, the efficiency and effectiveness of search systems have both been of great interest to the information retrieval community. However, an in-depth analysis of the interaction between the response latency and users' subjective search expe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b49a487a4b75a99c853e5ee83570e2fb
https://doi.org/10.1145/3406522.3446038
https://doi.org/10.1145/3406522.3446038
Publikováno v:
IEEE Access, Vol 9, Pp 100173-100184 (2021)
Modern recommender systems (RS) work by processing a number of signals that can be inferred from large sets of user-item interaction data. The main signal to analyze stems from the raw matrix that represents interactions. However, we can increase the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdaab6df971bf09a8671b11faab29d78
http://arxiv.org/abs/2103.03587
http://arxiv.org/abs/2103.03587
Most successful search queries do not result in a click if the user can satisfy their information needs directly on the SERP. Modeling query abandonment in the absence of click-through data is challenging because search engines must rely on other beh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23d7afb171009c08c95d956ffc8365a0
http://arxiv.org/abs/2101.09066
http://arxiv.org/abs/2101.09066
Publikováno v:
Web of Science
Since the inception of Recommender Systems (RS), the accuracy of the recommendations in terms of relevance has been the golden criterion for evaluating the quality of RS algorithms. However, by focusing on item relevance, one pays a significant price
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d2b8546fcd5c9687f910860972b3e51
Autor:
Sotiris Ioannidis, Nuria de Lama, Dusan Jakovetic, Ramon Martin de Pozuelo, Ioannis Arapakis, Giuseppe Danilo Spennacchio, Vassilis Chatzigiannakis, Hernan Ruiz Ocampo, Despina Kopanaki
After three years of research and innovation, the I-BiDaaS project partners were delighted to share the main results in a free online event that was held on the 21st of December 2020. Watch the I-BiDaaS Final Event recording: Welcome and Introduction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::780e05fa8bef4f004602ba9f3fe8ef3f