@inproceedings{7ff7ccf343c64b58bd3eaf11f0b4747a,
title = "Trustworthy movie recommender system with correct assessment and emotion evaluation",
abstract = "This paper proposes the movie recommender system for providing trustworthy movie ratings. Most of the movie recommender systems do not consider the unfair rating problem but the emotion evaluation. Then our approach performs the correct assessment against unfair rating. Furthermore we should analyze the review comments from twitter and emotion evaluations of users. As a result, it is possible to provide the movie candidates which are adjusting to users' intentions in a timely manner.",
keywords = "Correct assessment, Emotion, Emotion evaluation, Movie, Movie evaluation",
author = "Kim, {Ryu Ri} and Kwak, {Ye Jeong} and Mo, {Hyeon Jeong} and Mucheol Kim and Seungmin Rho and Man, {Ka Lok} and Chong, {Woon Kian}",
year = "2015",
language = "English",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
pages = "739--740",
editor = "Feng, {David Dagan} and Ao, {S. I.} and Craig Douglas and Ao, {S. I.} and Craig Douglas and Jeong-A Lee and Ao, {S. I.} and Oscar Castillo",
booktitle = "IMECS 2015 - International MultiConference of Engineers and Computer Scientists 2015",
note = "International MultiConference of Engineers and Computer Scientists 2015, IMECS 2015 ; Conference date: 18-03-2015 Through 20-03-2015",
}