Paper Info
Title
Research on tourist routes recommendation based on the user preference drifting over time.
Abstract
Tourist routes recommendation is a way to improve the tourist experience and the efficiency of tourism companies. Session-based methods divide all users' interaction histories into the same number sessions with fixed time window and treat the user preference as time sequences. There have few or even no interaction in some sessions for some users because of the high sparsity and temporal characteristics of tourist data. That lead to many session-based methods can not be applied to routes recommendation due to aggravate the sparsity. In order to better adapt and apply the characteristics of tourism data and alleviate the sparsity, a tourist routes recommendation method based on the user preference drifting over time is proposed. Firstly, the sparsity, temporal context, tourist age and price characteristics of tourism data are analyzed on a real tourism data. Secondly, based on the results of analysis, tourist interaction history is dynamic divided into different number of sessions and the tourist's evolving profile is then constructed by mining his probabilistic topic distribution in each session using Latent Dirichlet Allocation (LDA) and the time penalty weights. Then, the tourist feature vector based on the tourist age, the price and season of his tourism is modeled and a set of nearest neighbors and the candidate routes is selected base on it. Finally, the routes are recommended according to the similarities of probabilistic topic distributions between the active tourist and routes. Experimental results show that the proposed method can not only effectively adapt to the characteristics of tourism data, but also improve the effect of recommendation
Year
Venue
Keywords
2018
COMPUTER SYSTEMS SCIENCE AND ENGINEERING
Route Recommendation,LDA,User Preference,Time Penalty,Feature Vector
Field
DocType
Volume
World Wide Web,Computer science,Tourism,Database
Journal
33
Issue
ISSN
Citations 
2
0267-6192
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Chunjing Xiao122.08
Yongwei Qiao200.68
Kewen Xia32815.52
Yuxiang Zhang416715.28