Publications
Authors:
  • Anna Stavrianou , Caroline Brun
Citation:
13th Conference of the European Chapter of the Association for Computational Linguistics, Avignon, France, April 23-27, 2012.
Abstract:
In this paper, we propose the use of finegrained
information such as opinions and
suggestions extracted from users’ reviews
about products, in order to improve a recommendation
system. While typical recommender
systems compare a user profile
with some reference characteristics to rate
unseen items, they rarely make use of the
content of reviews users have done on a
given product. In this paper, we show how
we applied an opinion extraction system to
extract opinions but also suggestions from
the content of the reviews, use the results to
compare other products with the reviewed
one, and eventually recommend a better
product to the user.
Year:
2012
Report number:
2012/014