Results 31 to 40 of about 283 (172)
Journal of Robotics, Volume 2022, Issue 1, 2022., 2022 Aiming at the problems that the traditional model is difficult to extract information features, difficult to learn deep knowledge, and cannot automatically and effectively obtain features, which leads to the problem of low recommendation accuracy, this paper proposes a personalized tourism route recommendation model of intelligent service robot using ...
Xiang Huang, Shan Zhong
wiley +1 more source
ISPRS International Journal of Geo-Information, 2021 Point-Of-Interest (POI) recommendation not only assists users to find their preferred places, but also helps businesses to attract potential customers. Recent studies have proposed many approaches to the POI recommendation.
Dongjin Yu +3 more
doaj +1 more source
A POI Recommendation Algorithm Based on the Heterogeneous Graph Convolution Network
Scientific Programming, Volume 2022, Issue 1, 2022., 2022 Point‐of‐interest (POI) recommendation is a type of recommendation task, which generates a list of places that users may be interested in. There is a complex heterogeneous graph structure between users and points of interest. The current recommendation algorithms are generally based on Euclidean space data, and the algorithms based on graph structure ...
Yue Li, Zhihan Liu
wiley +1 more source
Semantic Annotation for Places in LBSN through Graph Embedding [PDF]
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017 With the prevalence of location-based social networks (LBSNs), automated semantic annotation for places plays a critical role in many LBSN-related applications. Although a line of research continues to enhance labeling accuracy, there is still a lot of room for improvement. The crucial problem is to find a high-quality representation for each place. In
Yan Wang 0014 +4 more
openaire +2 more sources
Security and Communication Networks, Volume 2021, Issue 1, 2021., 2021 Advances in Wireless Body Area Networks, where embedded accelerometers, gyroscopes, and other sensors empower users to track real‐time health data continuously, have made it easier for users to follow a healthier lifestyle. Various other apps have been intended to choose suitable physical exercise, depending on the current healthcare environment.
Sudhakar Sengan +6 more
wiley +1 more source
SAGE Open, 2016 The role of location-based social networks (LBSNs) on identity is a relatively unexplored area within the growing cannon of work on locative media. Following an exegesis of Giddens’s argument that narrative biographical accounts are critical in self ...
Michael Saker, Leighton Evans
doaj +1 more source
IEEE Access, 2019 Cyber security significantly relies on the dynamic communities in social networks. The location-based social network (LBSN) is a new type of social system that has sprung up recently that.
Jiuxin Cao +6 more
doaj +1 more source
Adversarial Mobility Learning for Human Trajectory Classification
IEEE Access, 2020 Understanding human mobility is one of the important but challenging tasks in Location-based Social Networks (LBSN). Recently, a user mobility mining task called Trajectory User Linking (TUL) has become an essential and popular topic, aiming at ...
Qiang Gao +5 more
doaj +1 more source
Journal of Transport and Land Use, 2019 Location-based social networks (LBSN) are social media sites where users check-in at venues and share content linked to their geo-locations. LBSN, considered to be a novel data source, contain valuable information for urban planners and researchers ...
Haluk Laman +2 more
doaj +1 more source
Friendship prediction model based on factor graphs integrating geographical location
CAAI Transactions on Intelligence Technology, 2020 With the development of network services and location-based systems, many mobile applications begin to use users’ geographical location to provide better services. In terms of social networks, geographical location is actively shared by users.
Liang Chen +7 more
doaj +1 more source