Results 121 to 130 of about 232 (178)
Error Measures for Trajectories Estimations with Geo-tagged Mobility Sample Data. [PDF]
IEEE trans Intell Transp Syst, 2019 Parsafard M, Chi G, Qu X, Li X, Wang H.
europepmc +1 more source
Uncovering patterns of inter-urban trip and spatial interaction from social media check-in data. [PDF]
PLoS One, 2014 Liu Y, Sui Z, Kang C, Gao Y.
europepmc +1 more source
The development of priority decision model for old urban community renovation in China. [PDF]
Sci RepWang W, Yang H, Jing S.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Recommending PO is in LBSNs with Deep Learning
2021 10th Mediterranean Conference on Embedded Computing (MECO), 2021In recent years, the representation of real-life problems into k-partite graphs introduced a new era in Machine Learning. The combination of virtual and physical layers through Location Based Social Networks (LBSNs) offered a different meaning into the constructed graphs.
openaire +1 more source
Location Recommendation System based on LBSNS
Journal of Digital Convergence, 2014 In LBSNS(Location-based Social Network Service), users can share locations and communicate with others by using check-in data. The check-in data consists of POI name, category, coordinate and address of locations, nickname of users, evaluating grade of locations, related article/photo/video, and etc.
Ku-Imm Jung +3 more
exaly +3 more sources
Personalized LBSN Recommendation System
Proceedings of the 2017 International Conference on Management Engineering, Software Engineering and Service Sciences, 2017To explore deep value of user comments in LBSN, this article through to Foursquare check-in with geography information analysis and review data using AFINN dictionary user comments emotions tend to get user implicit rating for this product. Using the score as the foundation, proposed and implemented an integrated collaborative filtering recommendation ...
Jingling Zhao +3 more
openaire +1 more source
Design and Implementation of LBSNS Service Model
Communications in Computer and Information Science, 2012Recently, Location Based Service (LBS) is expanding its service areas with the spread of smart phones and is offering more personalized contents according to the variety of needs from customers. Specially, Location Based Social Network Service (LBSNS) is emerging as the most promising service among the applications of LBS.
Youngdo Joo, Younghwa An
exaly +2 more sources
On the Impact of Neighborhood Selection Strategies for Recommender Systems in LBSNs
Lecture Notes in Computer Science, 2017Location-based social networks (LBSNs) have emerged as a new concept in online social media, due to the widespread adoption of mobile devices and location-based services. LBSNs leverage technologies such as GPS, Web 2.0 and smartphones to allow users to share their locations (check-ins), search for places of interest or POIs (Point of Interest), look ...
Daniela Godoy +2 more
exaly +3 more sources