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.
| 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): |  No Creative Commons |
