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 |
All Science Journal Classification (ASJC) codes
- Engineering(all)
- Computer Science Applications
- Artificial Intelligence
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Yang, W-S., Cheng, H. C., & Dia, J. B. (2008). A location-aware recommender system for mobile shopping environments. Expert Systems with Applications, 34(1), 437-445. https://doi.org/10.1016/j.eswa.2006.09.033