Recommendation Using Textual Opinions

  title={Recommendation Using Textual Opinions},
  author={Claudiu Cristian Musat and Yizhong Liang and Boi Faltings},
Many web sites collect reviews of products and services and use them provide rankings of their quality. However, such rankings are not personalized. We investigate how the information in the reviews written by a particular user can be used to personalize the ranking she is shown. We propose a new technique, topic profile collaborative filtering, where we build user profiles from users’ review texts and use these profiles to filter other review texts with the eyes of this user. We verify on data… CONTINUE READING
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