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2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) (2013)
San Jose, CA, USA
July 15, 2013 to July 19, 2013
ISBN: 978-1-4799-1604-7
pp: 1-4
Kai Jiang , MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China, Hefei, China
Nenghai Yu , MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China, Hefei, China
Weihai Li , MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China, Hefei, China
ABSTRACT
Online travel destination recommendation is to keep track of a user's current traveling history to recommend next destination in real time while the user is on the travel. This paper presents an efficient variable memory Markov model based method to provide such recommendation. The proposed method utilizes the large quantity of geotags from photo sharing website and combines travel pattern, location's popularity and distance factors to generate real time recommendation. Experiments on Panoramio data set demonstrate the effectiveness of this method.
INDEX TERMS
variable memory markov model, geotagged social media, online travel recommendation
CITATION

Kai Jiang, Nenghai Yu and Weihai Li, "Online travel destination recommendation with efficient variable memory Markov model," 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), San Jose, CA, USA, 2013, pp. 1-4.
doi:10.1109/ICMEW.2013.6618292
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