@inproceedings{37f03935030745a8a17b6c1de83dbb30,
title = "A restaurant recommendation system by analyzing ratings and aspects in reviews",
abstract = "Recommender systems are widely deployed to predict the preferences of users to items. They are popular in helping users find movies, books and products in general. In this work, we design a restaurant recommender system based on a novel model that captures correlations between hidden aspects in reviews and numeric ratings. It is motivated by the observation that a user{\textquoteright}s preference against an item is affected by different aspects discussed in reviews. Our method first explores topic modeling to discover hidden aspects from review text. Profiles are then created for users and restaurants separately based on aspects discovered in their reviews. Finally, we utilize regression models to detect the user-restaurant relationship. Experiments demonstrate the advantages.",
keywords = "Hidden aspect, Recommender systems, Regression model, Review analysis",
author = "Yifan Gao and Wenzhe Yu and Pingfu Chao and Rong Zhang and Aoying Zhou and Xiaoyan Yang",
note = "Publisher Copyright: {\textcopyright} 2015, Springer International Publishing Switzerland, All rights Reserved.; 20th International Conference on Database Systems for Advanced Applications, DASFAA 2015 ; Conference date: 20-04-2015 Through 23-04-2015",
year = "2015",
doi = "10.1007/978-3-319-18123-3\_33",
language = "英语",
isbn = "9783319181226",
series = "Lecture Notes in Computer Science",
publisher = "Springer Verlag",
pages = "526--530",
editor = "Matthias Renz and Cyrus Shahabi and Xiaofang Zhou and Cheema, \{Muhammad Aamir\}",
booktitle = "Database Systems for Advanced Applications - 20th International Conference, DASFAA 2015, Hanoi, Vietnam, April 20-23, 2015 Proceedings, Part II",
address = "德国",
}