MONERS: A news recommender for the mobile web

Mobile web news services, which served by mobile service operators collecting news articles from diverse news contents providers, provide articles sorted by category or on the basis of attributes, such as the time at which they were posted. The mobile web should provide easy access to the categories or news contents preferred by users because user interface of wireless devices, particularly cell phones is limited for browsing between contents. This paper presents a mobile web news recommendation system (MONERS) that incorporates news article attributes and user preferences with regard to categories and news articles. User preference of news articles are estimated by aggregating news article importance and recency, user preference change, and user segment's preference on news categories and articles. Performance of MONERS was tested in an actual mobile web environment; news organized by category had more page hits, while recommended news had a higher overall article read ratio. (C) 2005 Elsevier Ltd. All rights reserved.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2007-01
Language
ENG
Keywords

INFORMATION; MODEL

Citation

EXPERT SYSTEMS WITH APPLICATIONS, v.32, no.1, pp.143 - 150

ISSN
0957-4174
DOI
10.1016/j.eswa.2005.11.010
URI
http://hdl.handle.net/10203/4484
Appears in Collection
KGSM-Journal Papers(저널논문)
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