From Consumer Preferences Towards Buying Decisions Conjoint Analysis as Preference Measuring Method in Product Recommender Systems

被引:0
作者
Scholz, Michael [1 ]
机构
[1] Univ Passau, Passau, Germany
来源
21ST BLED ECONFERENCE ECOLLABORATION: OVERCOMING BOUNDARIES THROUGH MULTI-CHANNEL INTERACTION, CONFERENCE PROCEEDINGS | 2008年
关键词
product search engine; conjoint analysis; product recommender systems; TAXONOMY;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper briefly introduces the conjoint analysis as a method to measure consumer preferences. Based on the introduction the conjoint analysis is suggested as preference measuring method in product recommender systems. The challenges and limits in applying the conjoint analysis to product recommender systems are analysed and discussed. In the end we present a set of adaptations to the traditional conjoint analysis which address the mentioned challenges and limits.
引用
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页码:223 / 235
页数:13
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