Chunjing Xiao1,∗, Yongwei Qiao2, Kewen Xia1, Yuxiang Zhang3
Computer Systems Science and Engineering, Vol.33, No.2, pp. 95-103, 2018, DOI:10.32604/csse.2018.33.095
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… More >
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