Volltext-Downloads (blau) und Frontdoor-Views (grau)
The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 84 of 564
Back to Result List

Using a Rich Context Model for a News Recommender System for Mobile Users

  • Recommender systems have become an important application domain related to the development of personalized mobile services. Thus, various recommender mechanisms have been developed for filtering and delivering relevant information to mobile users. This paper presents a rich context model to provide the relevant content of news to the current context of mobile users. The proposed rich context model allows not only providing relevant news with respect to the user’s current context but, at the same time, also determines a convenient representation format of news suitable for mobile devices.

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Author:Alisa Sotsenko, Marc Jansen, Marcelo Milrad
URL:http://www.diva-portal.org/smash/get/diva2:720594/FULLTEXT01.pdf
Parent Title (English):2nd International Workshop on News Recommendation and Analytics
Document Type:Preprint
Language:English
Year of Completion:2014
Release Date:2019/06/26
Page Number:4
Institutes:Fachbereich 1 - Institut Informatik
DDC class:000 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft
Licence (German):License LogoNo Creative Commons