Recommendation Based on Contextual Opinions

@inproceedings{Chen2014RecommendationBO,
  title={Recommendation Based on Contextual Opinions},
  author={Guanliang Chen and Li Chen},
  booktitle={UMAP},
  year={2014}
}
Context has been recognized as an important factor in constructing personalized recommender systems. However, most contextaware recommendation techniques mainly aim at exploiting item-level contextual information for modeling users’ preferences, while few works attempt to detect more fine-grained aspect-level contextual preferences. Therefore, in this article, we propose a contextual recommendation algorithm based on user-generated reviews, from where users’ contextdependent preferences are… CONTINUE READING
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Improving the quality of predictions using textual information in online user reviews

  • G. Ganu, Y. Kakodkar
  • Information Systems 38(1),
  • 2013
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