publication . Other literature type . 2011 . Embargo end date: 03 May 2011

Probabilistic Approaches to Consumer-generated Review Recommendation

Zhang, Richong;
English
  • Published: 03 May 2011
  • Publisher: Université d'Ottawa / University of Ottawa
Abstract
Consumer-generated reviews play an important role in online purchase decisions for many consumers. However, the quality and helpfulness of online reviews varies significantly. In addition, the helpfulness of different consumer-generated reviews is not disclosed to consumers unless they carefully analyze the overwhelming number of available contents. Therefore, it is of vital importance to develop predictive models that can evaluate online product reviews efficiently and then display the most useful reviews to consumers, in order to assist them in making purchase decisions. This thesis examines the problem of building computational models for predicting whether a...
Subjects
free text keywords: Recommender System, Helpfulness, Consumer-generated Reviews, Algorithm, Probabilitic Approach
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