Social Geo-Media Data Mining, Retrieval and Management

in Special Issue   Posted on January 15, 2021 

Information for the Special Issue

Submission Deadline: Thu 01 Apr 2021
Journal Impact Factor : 2.391
Journal Name : Information Processing and Management
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/information-processing-and-management/call-for-papers/social-geo-media-data-mining-retrieval-and-management
Journal & Submission Website: https://www.journals.elsevier.com/information-processing-and-management

Special Issue Call for Papers:

MOTIVATION AND ABSTRACT:

As one of the most exciting trends in computing today, social geo-media holds the great potential to fundamentally change how information is accessed and modeled, how knowledge is harvested, processed and extracted, and how business (e.g., branding and customer relationship management) is conducted. Indeed, over the past few years, it has begun to usher in a new and exciting era of knowledge discovery and information retrieval research. An immense amount of information about users and their social interactions based on specific geo location can be harvested from the Web and explored through advanced data mining/information retrieval techniques. In particular, comprehensive analysis of social geo-media data can be leveraged to develop novel application in human activity domain including political elections, tourism management, smart cities and disease spread modeling.

This special issue is devoted to the publications of high-quality papers on three technical developments and practical applications around social, geo-media analytics and retrieval. It will serve as a forum for recent advances in the fields of social and geo-media content analysis, mining, search, and emerging new applications, such as geo-media systems, context-aware advertising, and personalized socio-mobile experience.

TIMELINE (TENTATIVE)

  • Call for Papers: 1 Jan 2021
  • Manuscript Due: 1 April 2021
  • Deadline for Revised Paper: 1 July 2021
  • Final Decision on Acceptance: 15 August 2021
  • Publication Date: Dec 2021

EDITORIAL TEAM

Dr. Jialie (Jerry) Shen – Dr. Shen is a Reader in Computer Science, School of Electronics, Electrical Engineering and Computer Science (EEECS), Queen’s University Belfast (QUB), Belfast, United Kingdom. Dr. Shen’s main research interests include machine learning, information retrieval, audio/music analytics and multimedia computing. His research has been published or is forthcoming in leading journals and international conferences, including ACM SIGIR, ACM Multimedia, ACM SIGMOD, IJCAI, AAAI, IEEE Transactions and ACM Transactions. Dr. Shen is the recipient of Lee Foundation Fellowship for Research Excellence Singapore, Microsoft Mobile plus Cloud Computing Theme Research Program Award, Best Reviewer Award for Information Processing and Management 2019 and ACM Multimedia 2020. He is senior member of IEEE.

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Dr. Muhammad Aamir Cheema – Dr. Cheema is an ARC Future Fellow and an Associate Professor at Monash University, Australia. He obtained his PhD from UNSW Australia in 2011. He is the recipient of 2012 Malcolm Chaikin Prize for Research Excellence in Engineering, 2013 Discovery Early Career Researcher Award, 2014 Dean’s Award for Excellence in Research by an Early Career Researcher, 2018 Future Fellowship, 2018 Monash Student Association Teaching Award and 2019 Young Tall Poppy Science Award. He has also won two CiSRA best research paper of the year awards, two invited papers in the special issue of IEEE TKDE on the best papers of ICDE, and three best paper awards at ICAPS 2020, WISE 2013 and ADC 2010, respectively. He is the Associate Editor of IEEE TKDE and DAPD. 

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Professor Xueming Qian – Professor. Qian is a full professor at Xi’an Jiaotong University, Xi’an, China. He is also the Director of the Smiles Laboratory at Xi’an Jiaotong University. He received the Microsoft Fellowship in 2006. He received outstanding doctoral dissertations of Xi’an Jiaotong University and Shaanxi Province, in 2010 and 2011, respectively. His research interests include geo-social media big data mining and search. His research is supported by the National Natural Science Foundation of China, Microsoft Research, and Ministry of Science and Technology. 

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