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Published in 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2017) (Full Paper Acceptance Rate: 18%), 2017
This paper is about designing personalized geo-fenes for different user segments in an algorithmic manner based on location based user affinity for a product/service.
Recommended citation: Ankur Garg, Sunav Choudhary, Payal Bajaj, Sweta Agrawal, Abhishek Kedia, and Shubham Agrawal. 2017. Smart Geo-fencing with Location Sensitive Product Affinity. In Proceedings of SIGSPATIAL’17, Los Angeles Area, CA, USA, November 7–10, 2017, 10 pages. http://ankurgarg101.github.io/files/smart_geofencing_paper_sigspatial.pdf
Published in The Fifth International Conference on Big Data Analytics (BDA 2017) (Full Paper Acceptance Rate: 12%), 2017
This paper is about mining credible and relevant news from Twitter.
Recommended citation: Ankur Garg, Varun Syal, Pankaj Gudlani, and Dhaval Patel. 2017. Mining Credible and Relevant News from Social Networks. In the Fifth International Conference on Big Data Analytics (BDA 2017), Hyderabad, India, December 12-15, 2017, 14 pages.
Published:
The talk demonstrates new ideas for visualizing customer data across a city and applies insights from machine learning to optimize geo-fence boundaries and automatically generate push offers. The video of the talk can be accessed on Youtube.
Published:
Please click the link to access the slides.
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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