TY - GEN
T1 - Exploiting shopping and reviewing behavior to re-score online evaluations
AU - Zhang, Rong
AU - Sha, Chao Feng
AU - Zhou, Minqi
AU - Zhou, Aoying
PY - 2012
Y1 - 2012
N2 - Analysis to product reviews has attracted great attention from both academia and industry. Generally the evaluation scores of reviews are used to generate the average scores of products and shops for future potential users. However, in the real world, there is the inconsistency problem between the evaluation scores and review content, and some customers do not give out fair reviews. In this work, we focus on detecting the credibility of customers by analyzing online shopping and review behaviors, and then we re-score the reviews for products and shops. In the end, we evaluate our algorithm based on the real data set from Taobao, the biggest E-commerce site in China. Copyright is held by the author/owner(s).
AB - Analysis to product reviews has attracted great attention from both academia and industry. Generally the evaluation scores of reviews are used to generate the average scores of products and shops for future potential users. However, in the real world, there is the inconsistency problem between the evaluation scores and review content, and some customers do not give out fair reviews. In this work, we focus on detecting the credibility of customers by analyzing online shopping and review behaviors, and then we re-score the reviews for products and shops. In the end, we evaluate our algorithm based on the real data set from Taobao, the biggest E-commerce site in China. Copyright is held by the author/owner(s).
KW - Customer credibility
KW - Review inconsistency
UR - https://www.scopus.com/pages/publications/84861045147
U2 - 10.1145/2187980.2188171
DO - 10.1145/2187980.2188171
M3 - 会议稿件
AN - SCOPUS:84861045147
SN - 9781450312301
T3 - WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion
SP - 649
EP - 650
BT - WWW'12 - Proceedings of the 21st Annual Conference on World Wide Web Companion
T2 - 21st Annual Conference on World Wide Web, WWW'12
Y2 - 16 April 2012 through 20 April 2012
ER -