Abstract
Exploring new applications and services for mobile environments has generated considerable excitement among both commercial companies and academics. In this paper we propose a location-aware recommender system that accommodates a customer's shopping needs with location-dependent vendor offers and promotions. Specifically, we propose a recommender system for recommending vendors' webpages - include offers and promotions - to interested customers. We present the developed system and the constructed approaches in this paper. The results of experiments using both synthetic and empirical data are also reported and discussed.
| Original language | English |
|---|---|
| Pages (from-to) | 437-445 |
| Number of pages | 9 |
| Journal | Expert Systems with Applications |
| Volume | 34 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2008 Jan 1 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
- Computer Science Applications
- Artificial Intelligence
Cite this
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A location-aware recommender system for mobile shopping environments. / Yang, Wan-Shiou; Cheng, Hung Chi; Dia, Jia Ben.
In: Expert Systems with Applications, Vol. 34, No. 1, 01.01.2008, p. 437-445.Research output: Contribution to journal › Article
TY - JOUR
T1 - A location-aware recommender system for mobile shopping environments
AU - Yang, Wan-Shiou
AU - Cheng, Hung Chi
AU - Dia, Jia Ben
PY - 2008/1/1
Y1 - 2008/1/1
N2 - Exploring new applications and services for mobile environments has generated considerable excitement among both commercial companies and academics. In this paper we propose a location-aware recommender system that accommodates a customer's shopping needs with location-dependent vendor offers and promotions. Specifically, we propose a recommender system for recommending vendors' webpages - include offers and promotions - to interested customers. We present the developed system and the constructed approaches in this paper. The results of experiments using both synthetic and empirical data are also reported and discussed.
AB - Exploring new applications and services for mobile environments has generated considerable excitement among both commercial companies and academics. In this paper we propose a location-aware recommender system that accommodates a customer's shopping needs with location-dependent vendor offers and promotions. Specifically, we propose a recommender system for recommending vendors' webpages - include offers and promotions - to interested customers. We present the developed system and the constructed approaches in this paper. The results of experiments using both synthetic and empirical data are also reported and discussed.
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UR - http://www.scopus.com/inward/citedby.url?scp=34248587904&partnerID=8YFLogxK
U2 - 10.1016/j.eswa.2006.09.033
DO - 10.1016/j.eswa.2006.09.033
M3 - Article
AN - SCOPUS:34248587904
VL - 34
SP - 437
EP - 445
JO - Expert Systems with Applications
JF - Expert Systems with Applications
SN - 0957-4174
IS - 1
ER -