文章基本信息

标题：Recommender System for Clarifying User's Preference by Showing Other Categories' Items
本地全文：下载
作者：Keiki Takadama ; Fumiaki Sato ; Masayuki Otani 等
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2013
卷号：28
期号：2
页码：210-219
DOI：10.1527/tjsai.28.210
出版社：The Japanese Society for Artificial Intelligence
摘要：The paper proposes a novel recommender system which supports users to clarify the most appropriate preference by recommending other categories' items that almost meet the attributes selected by users. Such an advantage is achieved by both the preference ncretization of users and the preference change of users.To investigate the effectiveness of the proposed system, we conducted the human-subject experiments and found that the proposed system supports users to find their desirable items by clarifying their preference. Concretely, the following implications have been revealed: (1) the proposed recommender system with both the serendipity and decision buttons enables users to clarify their preference by comparing items which are classified in different categories; (2) in detail, the item recommendation based on the selected item attributes contributes to clarifying the users' preference through a change of their preference, while the item recommendation based on the item characteristic contributes to clarifying the users' preference through a concretization of their preference; and (3) the proposed recommender system with the decision button succeeds the further clarification of the preference of users who have already clarified it.
关键词：recommender system ; awareness ; decision support ; human-agent interaction ; preference clarification ; category