Title page for etd-0816110-223701


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URN etd-0816110-223701
Author Shih-hui Tseng
Author's Email Address No Public.
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Department Information Management
Year 2009
Semester 2
Degree Master
Type of Document
Language English
Title A Model-based Collaborative Filtering Approach to Handling Data Reliability and Ordinal Data Scale
Date of Defense 2010-07-27
Page Count 51
Keyword
  • data reliability
  • recommender system
  • model-based CF
  • data scale
  • collaborative filtering
  • Abstract Accompanying with the Internet growth explosion, more and more information disseminates on the Web. The large amount of information, however, causes the information overload problem that disturbs users who desire to search and find useful information online. Information retrieval and information filtering arise to compensate for the searching and comprehending ability of the users. Recommender systems as one of the information filtering techniques emerge when users cannot describe their requirements precisely as keywords.
    Collaborative filtering (CF) compares novel information with common interests shared by a group of people to make the recommendations. One of its methods, the Model-based CF, generates predicted recommendation based on the model learned from the past opinions of the users. However, two issues on model-based CF should be addressed. First, data quality of the rating matrix input can affect the prediction performance. Second, most current models treat the data class as the nominal scale instead of ordinal nature in ratings.
    The objective of this research is thus to propose a model-based CF algorithm that considers data reliability and data scale in the model. Three experiments are conducted accordingly, and the results show our proposed method outperforms other counterparts especially under data of mild sparsity degree and of large scale. These results justify the feasibility of our proposed method in real applications.
    Advisory Committee
  • San-Yih Hwang - chair
  • Wen-Feng Hsiao - co-chair
  • Chien-Chin Chen - co-chair
  • Te-Min Chang - advisor
  • Files
  • etd-0816110-223701.pdf
  • indicate in-campus access in a year and off_campus not accessible
    Date of Submission 2010-08-16

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