Location‐based social network recommendations with computational intelligence‐based similarity computation and user check‐in behavior-Reference-Cited by-同舟云学术

Location‐based social network recommendations with computational intelligence‐based similarity computation and user check‐in behavior

Published:2020-11-24 Issue:22 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Elangovan Rajalakshmi¹,Vairavasundaram Subramaniyaswamy¹^ORCID,Varadarajan Vijayakumar²,Ravi Logesh³

Affiliation:

1. School of Computing SASTRA Deemed University Thanjavur India

2. School of Computer Science and Engineering University of New South Wales Sydney Australia

3. Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India

Funder

Science and Engineering Research Board

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6106

Reference34 articles.

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3. LiuB FuY YaoZ XiongHLearning geographical preferences for point‐of‐interest recommendation. Paper presented at: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; August 11 2013:1043‐1051.

4. ChengC YangH KingI LyuMR.Fused matrix factorization with geographical and social influence in location‐based social networks. Paper presented at: Twenty‐Sixth AAAI Conference on Artificial Intelligence; July 11 2012.

5. HosseiniS LiLT.Point‐of‐interest recommendation using temporal orientations of users and locations. Paper presented at: International Conference on Database Systems for Advanced Applications; April 16 2016; Cham Switzerland: Springer:330‐347.

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