Combining user preferences and user opinions for accurate recommendation

@article{Liu2013CombiningUP,
  title={Combining user preferences and user opinions for accurate recommendation},
  author={Hongyan Liu and Jun He and Tingting Wang and Wenting Song and Xiaoyong Du},
  journal={Electronic Commerce Research and Applications},
  year={2013},
  volume={12},
  pages={14-23}
}
Recommendation systems represent a popular research area with a variety of applications. Such systems provide personalized services to the user and help address the problem of information overload. Traditional recommendation methods such as collaborative filtering suffer from low accuracy because of data sparseness though. We propose a novel recommendation algorithm based on analysis of an online review. The algorithm incorporates two new methods for opinion mining and recommendation. As… CONTINUE READING
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