Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Gurini, D. F."'
Publikováno v:
Scopus-Elsevier
In this paper, we describe our research activity on an approach to personalized news recommendation, which captures the temporal dynamics of the active user's interests. In such recommender, the user profile explicitly involves the time dimension in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2b1ba63130f74fc5270d3cb9c5fe36e7
https://hdl.handle.net/11590/373582
https://hdl.handle.net/11590/373582
Publikováno v:
Scopus-Elsevier
Everyday video-sharing websites such as YouTube collect large amounts of new multimedia resources. Comments left by viewers often provide valuable information to describe sentiments, opinions and tastes of users. For this reason, we propose a novel r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::02b680f819a4cd2568f29230939bf099
https://hdl.handle.net/11590/298712
https://hdl.handle.net/11590/298712
Publikováno v:
Scopus-Elsevier
Nowadays, the emerging popularity of Social Web raises new application areas for recommender systems. The aim of a social user recommendation is to suggest new friends having similar interests. In order to identify such interests, current recommender
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2757600ecdf4d8ca6f63824e47676ea9
https://hdl.handle.net/11590/267825
https://hdl.handle.net/11590/267825
Publikováno v:
Scopus-Elsevier
This article reports our experience in developing a recommender system (RS) able to suggest relevant people to the target user. Such a RS relies on a user profile represented as a set of weighted concepts related to the user's interests. The weightin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0e90d43f3afbccb790e2bd9460e6797b
http://www.scopus.com/inward/record.url?eid=2-s2.0-84944231585&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84944231585&partnerID=MN8TOARS
Publikováno v:
UMAP (Adjunct Publication)
With the increasing information overload, the identification of new users really relevant to the target user becomes more and more complicated. In this paper, we propose a social recommender based on a user model that takes into account not only her
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8c6107c287c36678fc0ce72118a8503
https://hdl.handle.net/11590/373584
https://hdl.handle.net/11590/373584