TY - GEN
T1 - Sentiment-enhanced explanation of product recommendations
AU - Chen, Li
AU - Wang, Feng
N1 - Publisher Copyright:
© Copyright 2014 by the International World Wide Web Conferences Steering Committee.
PY - 2014/4/7
Y1 - 2014/4/7
N2 - Because of the important role of product reviews during users' decision process, we propose a novel explanation interface that particularly fuses the feature sentiments as extracted from reviews into explaining recommendations. Besides, it can explain multiple items altogether by revealing their similarity in respect of feature sentiments as well as static specifications, so as to support users' tradeoff making. Relative to existing works, we believe that this interface can be more effective, trustworthy, and persuasive.
AB - Because of the important role of product reviews during users' decision process, we propose a novel explanation interface that particularly fuses the feature sentiments as extracted from reviews into explaining recommendations. Besides, it can explain multiple items altogether by revealing their similarity in respect of feature sentiments as well as static specifications, so as to support users' tradeoff making. Relative to existing works, we believe that this interface can be more effective, trustworthy, and persuasive.
KW - E-commerce
KW - Recommendation explanation
KW - Sentiment analysis
UR - http://www.scopus.com/inward/record.url?scp=84990960680&partnerID=8YFLogxK
U2 - 10.1145/2567948.2577276
DO - 10.1145/2567948.2577276
M3 - Conference proceeding
AN - SCOPUS:84990960680
T3 - WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
SP - 239
EP - 240
BT - WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web
PB - Association for Computing Machinery (ACM)
T2 - 23rd International Conference on World Wide Web, WWW 2014
Y2 - 7 April 2014 through 11 April 2014
ER -