AAAI Publications, Workshops at the Thirtieth AAAI Conference on Artificial Intelligence

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TRM: Computing Reputation Score by Mining Reviews
Guangquan Xu, Yan Cao, Yao Zhang, Gaoxu Zhang, Xiaohong Li, Zhiyong Feng

Last modified: 2016-03-29

Abstract


As the rapid development of e-commerce, reputation model has been proposed to help customers make effective purchase decisions. However, most of reputation models focus only on the overall ratings of products without considering reviews which provided by customers. We believe that textual reviews provided by buyers can express their real opinions more honestly. As so, in this paper, based on word2vector model, we propose a Textual Reputation Model (TRM) to obtain useful information from reviews, and evaluate the trustworthiness of objective product. Experimental results on real data demonstrate the effectiveness of our approach in capturing reputation information from reviews.

Keywords


Word2vector;Textual Reputation Model ;Reviews

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