• Corpus ID: 6304349

Review Based Rating Prediction

@article{Hadad2016ReviewBR,
  title={Review Based Rating Prediction},
  author={Tal Hadad},
  journal={ArXiv},
  year={2016},
  volume={abs/1607.00024}
}
  • T. Hadad
  • Published 30 June 2016
  • Computer Science
  • ArXiv
Recommendation systems are an important units in today's e-commerce applications, such as targeted advertising, personalized marketing and information retrieval. In recent years, the importance of contextual information has motivated generation of personalized recommendations according to the available contextual information of users. Compared to the traditional systems which mainly utilize users' rating history, review-based recommendation hopefully provide more relevant results to users. We… 
1 Citations

Figures and Tables from this paper

Review-Based Recommender Systems: A Proposed Rating Prediction Scheme Using Word Embedding Representation of Reviews
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This study makes use of the information included in user reviews as well as available rating scores to develop a review-based rating prediction system that outperforms and can be used as a suitable tool in ecommerce environments.

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