Comparing Techniques For Preference Relaxation: A Decision Theory Perspective
Lecture notes in business information processing(2010)
摘要
This research proposes a decision aid based on a novel type of preference relaxation, which enables consumers to easily make quality choices in online multiattribute choice scenarios. In contrast to filtering and recommendation mechanisms that are a potential solution to this problem, our method combines decision theory with preference relaxation and enables consumers to consider high-quality alternatives they initially eliminated. We compare our approach with existing methods using a set of 2650 car advertisements gathered from a popular advertiser website. We discuss the potential impact of our method on decision quality and give an overview of implications for practitioners and researchers.
更多查看译文
关键词
Decision Theory,Recommender Systems,Preference Relaxation,eCommerce
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络