Results 121 to 130 of about 283 (172)

Mining human periodic behaviors via tensor factorization and entropy. [PDF]

PeerJ Comput Sci
Yi F, Su L, He H, Xiao T.
europepmc   +1 more source

Berry shrivel in grapevine: a review considering multiple approaches. [PDF]

J Exp Bot
Griesser M, Savoi S, Bondada B, Forneck A, Keller M.   +4 more
europepmc   +1 more source

LBSNオントロジの構築

LBSNオントロジの構築
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Using Visualization to Explore Original and Anonymized LBSN Data

Computer Graphics Forum, 2016
AbstractWe present GSUVis, a visualization tool designed to provide better understanding of location‐based social network (LBSN) data. LBSN data is one of the most important sources of information for transportation, marketing, health, and public safety.
Ebrahim Tarameshloo, M. Hosseinkhani Loorak, Philip W. L. Fong, Sheelagh Carpendale   +3 more
exaly   +2 more sources

Community Detection and Location Recommendation Based on LBSN

2017 International Conference on Network and Information Systems for Computers (ICNISC), 2017
Community detection is an effective tool for mining hidden information in social networks. Label propagation is a widely used and effective community detection algorithm. A lot of work has been done based on label propagation for standalone machine computing. While in location based social networks (LBSN), paralleled label propagation is needed to deal
Chang Su, Xian-Zhong Xie
exaly   +2 more sources

LBSN 2011 Workshop Report: the Third ACM SIGSPATIAL International Workshop on Location-Based Social Networks (LBSN 2011)

SIGSPATIAL Special, 2012
Social networks have been prevalent on the Internet, attracting many professionals from a variety of fields. By adding a location dimension, we can bring online social networks back to the physical world and share our real-life experiences in the virtual world conveniently.
Mohamed Mokbel
exaly   +2 more sources

Analyzing LBSN Data

Synthesis Lectures on Data Mining and Knowledge Discovery, 2015
Huiji Gao, Huan Liu
exaly   +2 more sources

Recommending PO is in LBSNs with Deep Learning

2021 10th Mediterranean Conference on Embedded Computing (MECO), 2021
In 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.
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Personalized LBSN Recommendation System

Proceedings of the 2017 International Conference on Management Engineering, Software Engineering and Service Sciences, 2017
To 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, Tianyi Wang, Xiaojun Xu, Yu Yang   +3 more
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Towards reliable spatial information in LBSNs

Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012
The proliferation of Location-based Social Networks (LBSNs) has been rapid during the last year due to the number of novel services they can support. The main interaction between users in an LBSN is location sharing, which builds the spatial component of the system.
Ke Zhang 0013, Wei Jeng, Francis Fofie, Konstantinos Pelechrinis, Prashant Krishnamurthy   +4 more
openaire   +1 more source