Personalized recommendation on discount coupons

Teemu Mutanen, Sami Nousiainen, H. Liang

Research output: Contribution to conferenceConference articleScientific

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 languageEnglish
Number of pages6
Publication statusPublished - 2010
MoE publication typeNot Eligible
EventAnnual International Conference on Computer Science Education: Innovation and Technology - Special Track: Knowledge Discovery, KD 2010 - Phuket, Thailand
Duration: 6 Dec 20107 Dec 2010

Conference

ConferenceAnnual International Conference on Computer Science Education: Innovation and Technology - Special Track: Knowledge Discovery, KD 2010
Abbreviated titleKD 2010
CountryThailand
CityPhuket
Period6/12/107/12/10

Keywords

  • Personalization
  • Discount Coupon
  • Recommendation Systems
  • User Modeling

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