Free Text In User Reviews : Their Role In Recommender Systems

@inproceedings{Terzi2011FreeTI,
  title={Free Text In User Reviews : Their Role In Recommender Systems},
  author={Maria Terzi and M Ferrario and Jon Whittle},
  year={2011}
}
As short free text user-generated reviews become ubiquitous on the social web, opportunities emerge for new approaches to recommender systems that can harness users‟ reviews in open text form. In this paper we present a first experiment towards the development of a hybrid recommender system which calculates users‟ similarity based on the content of users‟ reviews. We apply this approach to the movie domain and evaluate the performance of LSA, a state-of-the-art similarity measure, at estimating… CONTINUE READING