Title page for etd-0629114-122019


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URN etd-0629114-122019
Author Kuan-Yu Tseng
Author's Email Address t0382818@gmail.com
Statistics This thesis had been viewed 5344 times. Download 968 times.
Department Information Management
Year 2013
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Context-aware Collaborative Filtering Methods for Multimedia Recommendation
Date of Defense 2014-06-26
Page Count 95
Keyword
  • Mobile Device
  • Collaborative Filtering
  • Matrix Factorization
  • Context-Awareness
  • Recommender System
  • Abstract The rapid development of mobile device and multimedia allows us today to have extremely rich multimedia information sources. The numbers of data also increase rapidly so that users have to spend more and more time to find their preferred multimedia items among a multitude of information.
    To tackle this problem, the collaborative filtering (CF) approach to recommender systems has recently been proposed and used. The present study develops some techniques including a machine learning approach for performance improvement. The aim is to effectively filter large amounts of multimedia information and to achieve competitive accuracy by incorporating multi-contexts into the neighborhood and matrix factorization methods. Experiments have been conducted and the results show that the proposed approach outperforms other context-aware recommendation methods.
    Advisory Committee
  • Yuh-Jiuan Tsai - chair
  • Hsin-Chang Yang - co-chair
  • Wei-Po Lee - advisor
  • Files
  • etd-0629114-122019.pdf
  • Indicate in-campus at 0 year and off-campus access at 1 year.
    Date of Submission 2014-07-29

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