Learning travel recommendations from user-generated GPS traces
The advance of GPS-enabled devices allows people to record their location histories with
GPS traces, which imply human behaviors and preferences related to travel. In this article …
GPS traces, which imply human behaviors and preferences related to travel. In this article …
Tour recommendation and trip planning using location-based social media: A survey
Tourism is both an important industry and popular leisure activity undertaken by millions
around the world. One important task for tourists is to plan and schedule tour itineraries that …
around the world. One important task for tourists is to plan and schedule tour itineraries that …
A sentiment-enhanced personalized location recommendation system
Although online recommendation systems such as recommendation of movies or music
have been systematically studied in the past decade, location recommendation in Location …
have been systematically studied in the past decade, location recommendation in Location …
Semantic trajectories: Mobility data computation and annotation
Z Yan, D Chakraborty, C Parent… - ACM Transactions on …, 2013 - dl.acm.org
With the large-scale adoption of GPS equipped mobile sensing devices, positional data
generated by moving objects (eg, vehicles, people, animals) are being easily collected …
generated by moving objects (eg, vehicles, people, animals) are being easily collected …
Application of deep neural network and generative adversarial network to industrial maintenance: A case study of induction motor fault detection
As data visibility in factories has increased with the deployment of sensors, data-driven
maintenance has become popular in industries. Machine learning has been a promising tool …
maintenance has become popular in industries. Machine learning has been a promising tool …
iGSLR: personalized geo-social location recommendation: a kernel density estimation approach
With the rapidly growing location-based social networks (LBSNs), personalized geo-social
recommendation becomes an important feature for LBSNs. Personalized geo-social …
recommendation becomes an important feature for LBSNs. Personalized geo-social …
[PDF][PDF] 移动推荐系统及其应用
孟祥武， 胡勋， 王立才， 张玉洁 - 软件学报, 2012 - jos.org.cn
近年来, 移动推荐系统已成为推荐系统研究领域最为活跃的课题之一. 如何利用移动上下文,
移动社会化网络等信息进一步提高移动推荐系统的推荐精确度和用户满意度 …
移动社会化网络等信息进一步提高移动推荐系统的推荐精确度和用户满意度 …
Location-based social networks: Users
Y Zheng - Computing with spatial trajectories, 2011 - Springer
In this chapter, we introduce and define the meaning of location-based social network
(LBSN) and discuss the research philosophy behind LBSNs from the perspective of users …
(LBSN) and discuss the research philosophy behind LBSNs from the perspective of users …
A neural network approach to jointly modeling social networks and mobile trajectories
Two characteristics of location-based services are mobile trajectories and the ability to
facilitate social networking. The recording of trajectory data contributes valuable resources …
facilitate social networking. The recording of trajectory data contributes valuable resources …
Mining user similarity from semantic trajectories
In recent years, research on measuring trajectory similarity has attracted a lot of attentions.
Most of similarities are defined based on the geographic features of mobile users' …
Most of similarities are defined based on the geographic features of mobile users' …