In order to recommend satisfactory transportation mode, context of user transportation is firstly built, and then context factors are extracted from data of user behavior which is generated by social application based on Mobile Internet. According to the travel purposiveness and preference of users, context factors and user preference are taken into comprehensive consideration in this paper. In the view of context factors, there is a great deal of difference among users' selections of transportation mode due to different travel conditions and their preference. Experiment results show that the proposed scheme can present the selection percentage of single transportation mode and composite transportation mode under different circumstances of context factors. It is also proven that the recommended travel plans are closely aligned with users' needs in terms of user satisfaction. The proposed method shows superior performance on the T-test of different datasets, such as NDCG@5, NDCG@10, and MAP, to the collaborative filtering method based on Pearson correlation coefficients and the weighted slot-one algorithm.
WANG Feng, QU Junfeng, ZHAO Yongbiao, GU Qiong
. User Transportation Mode Recommendation Based on Contextual Factor and User Preference[J]. Journal of Applied Sciences, 2019
, 37(3)
: 407
-418
.
DOI: 10.3969/j.issn.0255-8297.2019.03.011
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