Abstract
We present several recommendation approaches how discount coupon service
could be personalized in order to cut down customer’s usage time. The Velo
system is already implemented coupon service system in China with millions of
users. The proposed approach makes use of customer and dispenser meta data
together with previous user coupon prints in order to predict upcoming prints
for a customer
| Original language | English |
|---|---|
| Number of pages | 6 |
| Publication status | Published - 2010 |
| MoE publication type | Not Eligible |
| Event | Annual International Conference on Computer Science Education: Innovation and Technology - Special Track: Knowledge Discovery, KD 2010 - Phuket, Thailand Duration: 6 Dec 2010 → 7 Dec 2010 |
Conference
| Conference | Annual International Conference on Computer Science Education: Innovation and Technology - Special Track: Knowledge Discovery, KD 2010 |
|---|---|
| Abbreviated title | KD 2010 |
| Country/Territory | Thailand |
| City | Phuket |
| Period | 6/12/10 → 7/12/10 |
Keywords
- Personalization
- Discount Coupon
- Recommendation Systems
- User Modeling