Model of Personal Discount Sensitivity in Recommender Systems

Recommender systems help users to encounter information or items that are of interest to them. Prior work on recommender systems has focused on eliciting preferences for items and neglected the personal traits in discount sensitivity. In this paper, we propose a recommender system that inco...

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Bibliographic Details
Main Authors: Masahiro Sato, Hidetaka Izumo, Takashi Sonoda
Format: Article
Language:English
Published: ASLERD 2016-03-01
Series:Interaction Design and Architecture(s)
Online Access:https://ixdea.org/28_6/

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