Results 21 to 30 of about 200 (160)
A Study on Recommendation Systems in Location Based Social Networking
Journal of Information and Organizational Sciences, 2017 Smart devices in the hands of people are revolutionizing the social lifestyle of one's self. Everyone across the world are using smart devices linked to their social networking activities one such activity is to share location data by uploading the ...
Lakshmi Shree Kullappa +2 more
doaj +1 more source
RecPOID: POI Recommendation with Friendship Aware and Deep CNN
Future Internet, 2021 In location-based social networks (LBSNs), exploit several key features of points-of-interest (POIs) and users on precise POI recommendation be significant. In this work, a novel POI recommendation pipeline based on the convolutional neural network named
Sadaf Safavi, Mehrdad Jalali
doaj +1 more source
A Study of Tourist Sequential Activity Pattern through Location Based Social Network (LBSN)
2018 International Conference on Orange Technologies (ICOT), 2018 Research Questions 1.What are the most common tourist sequential activity patterns in Singapore? 2.What are the effective methods of sequential activity analysis using the LBSN data in Singapore? 3.What are the most interesting insights resulting from the tourist sequential activity pattern analysis in Singapore?
Anmoila Talpur, Yanchun Zhang
openaire +2 more sources
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
Interest Aware Location-Based Recommender System Using Geo-Tagged Social Media
ISPRS International Journal of Geo-Information, 2016 Advances in location acquisition and mobile technologies led to the addition of the location dimension to Social Networks (SNs) and to the emergence of a newer class called Location-Based Social Networks (LBSNs). While LBSNs are richer in their model and
Basma AlBanna +3 more
doaj +1 more source
Urban Area Function Zoning Based on User Relationships in Location-Based Social Networks
IEEE Access, 2020 With advanced development of Internet communication and ubiquitous computing, Social Networks are providing an important information channel for smart city construction.
Fei Hao +5 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
Inferring Location Types With Geo-Social-Temporal Pattern Mining
IEEE Access, 2020 With a rapid growth in the global population, the modern world is undergoing a rapid expansion of residential areas, especially in urban centres. This continuously demands for increased general services and basic amenities, which are required according ...
Tarique Anwar +5 more
doaj +1 more source
POI Neural-Rec Model via Graph Embedding Representation
Tsinghua Science and Technology, 2021 With the booming of the Internet of Things (IoT) and the speedy advancement of Location-Based Social Networks (LBSNs), Point-Of-Interest (POI) recommendation has become a vital strategy for supporting people’s ability to mine their POIs.
Kang Yang, Jinghua Zhu, Xu Guo
doaj +1 more source
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