Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Raúl Lara-Cabrera"'
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 6, Iss 6, Pp 86-94 (2021)
The lack of bias management in Recommender Systems leads to minority groups receiving unfair recommendations. Moreover, the trade-off between equity and precision makes it difficult to obtain recommendations that meet both criteria. Here we propose a
Externí odkaz:
https://doaj.org/article/670b6b09ec0c4f73835caa406f366771
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1223 (2022)
Traditionally, recommender systems have been approached as regression models aiming to predict the score that a user would give to a particular item. In this work, we propose a recommender system that tackles the problem as a classification task inst
Externí odkaz:
https://doaj.org/article/34fa62b2499d426688ec498ceed471c1
Publikováno v:
Applied Sciences, Vol 10, Iss 14, p 4926 (2020)
Providing useful information to the users by recommending highly demanded products and services is a fundamental part of the business of many top tier companies. Recommender Systems make use of many sources of information to provide users with accura
Externí odkaz:
https://doaj.org/article/36ecd9a2a5d34ce2ab8c0d4a240ba34a
Publikováno v:
Applied Sciences, Vol 10, Iss 2, p 675 (2020)
Recommender systems aim to estimate the judgment or opinion that a user might offer to an item. Matrix-factorization-based collaborative filtering typifies both users and items as vectors of factors inferred from item rating patterns. This method fin
Externí odkaz:
https://doaj.org/article/98f9b6df6672452ba21c1957ef4f29a7
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 3, Iss 2, Pp 40-48 (2015)
Videogames are one of the most important and profitable sectors in the industry of entertainment. Nowadays, the creation of a videogame is often a large-scale endeavor and bears many similarities with, e.g., movie production. On the central tasks in
Externí odkaz:
https://doaj.org/article/afd8b6d9d87a4c13ac8b80185cef42ed
Recommendation to groups of users is a challenging subfield of recommendation systems. Its key concept is how and where to make the aggregation of each set of user information into an individual entity, such as a ranked recommendation list, a virtual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fab900f2b51f47f417a30facba3b601e
Publikováno v:
Neural Computing and Applications. 34:2939-2951
In the context of recommender systems based on collaborative filtering (CF), obtaining accurate neighborhoods of the items of the datasets is relevant. Beyond particular individual recommendations, knowing these neighbors is fundamental for adding di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40c4d1fa21a4bf2f367bd9d54608b4e4
https://doi.org/10.1007/s00521-021-06493-7
https://doi.org/10.1007/s00521-021-06493-7
Publikováno v:
Applied Sciences, Vol 12, Iss 1223, p 1223 (2022)
Applied Sciences; Volume 12; Issue 3; Pages: 1223
E-Prints Complutense. Archivo Institucional de la UCM
instname
Applied Sciences; Volume 12; Issue 3; Pages: 1223
E-Prints Complutense. Archivo Institucional de la UCM
instname
Traditionally, recommender systems have been approached as regression models aiming to predict the score that a user would give to a particular item. In this work, we propose a recommender system that tackles the problem as a classification task inst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f47365cc69dad32cd57dbf818d52d1f8
https://www.mdpi.com/2076-3417/12/3/1223
https://www.mdpi.com/2076-3417/12/3/1223
Publikováno v:
Information Fusion. 52:128-142
Cybersecurity has become a major concern for society, mainly motivated by the increasing number of cyber attacks and the wide range of targeted objectives. Due to the popularity of smartphones and tablets, Android devices are considered an entry poin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1804746c2263a91fc8cb2aaeb4b20174
https://doi.org/10.1016/j.inffus.2018.12.006
https://doi.org/10.1016/j.inffus.2018.12.006
Publikováno v:
Future Generation Computer Systems. 93:971-978
Nowadays, Social Networks have become an essential communication tools producing a large amount of information about their users and their interactions, which can be analysed with Data Mining methods. In the last years, Social Networks are being used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46f3f81057e8120e9ca525492e79afbc
https://doi.org/10.1016/j.future.2017.10.046
https://doi.org/10.1016/j.future.2017.10.046