Title page for etd-0811116-211728


[Back to Results | New Search]

URN etd-0811116-211728
Author Po-Chang Chen
Author's Email Address No Public.
Statistics This thesis had been viewed 5340 times. Download 13 times.
Department Information Management
Year 2015
Semester 2
Degree Master
Type of Document
Language English
Title Using Mobile App For Personalized Hotel Recommendation
Date of Defense 2014-07-24
Page Count 57
Keyword
  • Tokenization
  • Text mining
  • Sentiment Analysis
  • Hotel Recommendation
  • Part Of Speech Tagging
  • Abstract With the advance of mobile devices, the ways people use Internet have changed enormously. Mobile devices are capable of recording users’ behavior, such as locations visited, frequent online shopping stores, browsing history, and so on. The aim of this study is to utilize users’ browsing data on mobile devices and subsequently applying text mining techniques to recommend hotels to users.
    Specifically, we design and implement an APP that allows its user to browse hotel reviews and records every gesture the user has performed. We then identified a subset of hotel reviews that the given user have shown interests depending on the different kinds of gestures he/she has performed. Text mining techniques are subsequently applied to construct the interest profile of the user based on the review content.
    We collect 10,690 reviews of 360 hotels in Taiwan. 18 users are recruited to use our proposed APP and participate in the experiment. Experimental result demonstrates that our system have better performance than other approaches.
    Advisory Committee
  • Chih-Ping Wei - chair
  • T. M. Chang - co-chair
  • Yuling Hsueh - co-chair
  • Keng-Pei Lin - advisor
  • S.Y. Hwang - advisor
  • Files
  • etd-0811116-211728.pdf
  • Indicate in-campus at 0 year and off-campus access at 5 year.
    Date of Submission 2016-09-12

    [Back to Results | New Search]


    Browse | Search All Available ETDs

    If you have more questions or technical problems, please contact eThesys