Trustworthy movie recommender system with correct assessment and emotion evaluation

Ryu Ri Kim, Ye Jeong Kwak, Hyeon Jeong Mo, Mucheol Kim, Seungmin Rho*, Ka Lok Man, Woon Kian Chong

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

5 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationIMECS 2015 - International MultiConference of Engineers and Computer Scientists 2015
EditorsDavid Dagan Feng, S. I. Ao, Craig Douglas, S. I. Ao, Craig Douglas, Jeong-A Lee, S. I. Ao, Oscar Castillo
PublisherNewswood Limited
Number of pages2
ISBN (Electronic)9789881925398
Publication statusPublished - 2015
EventInternational MultiConference of Engineers and Computer Scientists 2015, IMECS 2015 - Tsimshatsui, Kowloon, Hong Kong
Duration: 18 Mar 201520 Mar 2015

Publication series

NameLecture Notes in Engineering and Computer Science
ISSN (Print)2078-0958


ConferenceInternational MultiConference of Engineers and Computer Scientists 2015, IMECS 2015
Country/TerritoryHong Kong
CityTsimshatsui, Kowloon


  • Correct assessment
  • Emotion
  • Emotion evaluation
  • Movie
  • Movie evaluation

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