标题:User perception of sentiment-integrated critiquing in recommender systems
作者:Chen, Li; Yan, Dongning; Wang, Feng
作者机构:[Chen, Li; Yan, Dongning; Wang, Feng] Hong Kong Baptist Univ, Dept Comp Sci, Hong Kong, Peoples R China.; [Yan, Dongning] Shandong Univ, Sch Mech En 更多
通讯作者:Chen, Li;Chen, L
通讯作者地址:[Chen, L]Hong Kong Baptist Univ, Dept Comp Sci, Hong Kong, Peoples R China.
来源:INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
出版年:2019
卷:121
页码:4-20
DOI:10.1016/j.ijhcs.2017.09.005
关键词:Critiquing-based recommender systems; Product reviews; Feature-based; sentiment analysis; E-commerce; User evaluation
摘要:Critiquing in recommender systems has been accepted as an effective feedback mechanism that allows users to incrementally refine their preferences for product attributes, especially in complex decision environments and high-investment product domains where users' initial preferences are usually uncertain and incomplete. However, the traditional critiquing methods are limited in that they are only based on static attribute values (such as a digital camera's screen size, effectiveness pixels, optical zoom). Considering product reviews contain other customers' sentiments (also called opinions) expressed on some features, in this manuscript, we propose a sentiment-integrated critiquing approach, for helping users to formulate and refine their preferences. Through both before-after and within-subjects experiments, we find that the incorporation of feature sentiments into the critiquing interface can significantly improve users' product knowledge, preference certainty, decision confidence, perceived information usefulness, and purchase intention. The results can hence be constructive for enhancing current critiquing-based recommender systems. (C) 2017 Elsevier Ltd. All rights reserved.
收录类别:EI;SCOPUS;SCIE;SSCI
Scopus被引频次:2
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030245495&doi=10.1016%2fj.ijhcs.2017.09.005&partnerID=40&md5=e86367950aa7009af26685d05aa3ac9d
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