Context-Aware Recommendations on the Mobile Web

Recently, there has been a significant increase in the use of data via the mobile web. Since the user interfaces for mobile devices are inconvenient for browsing through many pages and searching their contents, many studies have focused on ways to recommend content or menus that users prefer. However, the mobile usage pattern of content or services differs according to context. In this paper, we apply context information—location, time, identity, activity, and device—to recommend services or content on the mobile web. A Korean mobile service provider has implemented context-aware recommendations. The usage logs of this service are analyzed to show the performance of context-aware recommendations.
Publisher
Springer Verlag (Germany)
Issue Date
2005
Language
ENG
Citation

OTM Workshops 2005, pp.142 - 151

ISSN
0302-9743
URI
http://hdl.handle.net/10203/4576
Appears in Collection
KGSM-Conference Papers(학술회의논문)
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