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Published Articles >> Table of Contents >> Abstract
International Symposium on Applications and the Internet (SAINT'06)
pp. 124-129
Using Location for Personalized POI Recommendations in Mobile Environments
Tzvetan Horozov, Motorola Inc.
Nitya Narasimhan, Motorola Inc.
Venu Vasudevan, Motorola Inc.
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SAINT.2006.55
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| Abstract |
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Internet-based recommender systems have
traditionally employed collaborative filtering techniques to
deliver relevant "digital" results to users. In the mobile
Internet however, recommendations typically involve
"physical" entities (e.g., restaurants), requiring additional
user effort for fulfillment. Thus, in addition to the inherent
requirements of high scalability and low latency, we must
also take into account a "convenience" metric in making
recommendations. In this paper, we propose an enhanced
collaborative filtering solution that uses location as a key
criterion for generating recommendations. We frame the
discussion in the context of our "restaurant recommender"
system, and describe preliminary results that indicate the
utility of such an approach. We conclude with a look at
open issues in this space, and motivate a future discussion
on the business impact and implications of mining the data
in such systems.
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 Additional Information
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Index Terms- collaborative filtering, recommendation, location-based, location, mobile, services
Citation:
Tzvetan Horozov, Nitya Narasimhan, Venu Vasudevan,
"Using Location for Personalized POI Recommendations in Mobile Environments,"
saint,
pp. 124-129,
International Symposium on Applications and the Internet (SAINT'06),
2006
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