LocalRec 2019 workshop report: The Third ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising

Author:

Bouros Panagiotis1,Dasu Tamraparni2,Kanza Yaron2,Renz Matthias3,Sacharidis Dimitris4

Affiliation:

1. Johannes Gutenberg University Mainz, Germany

2. AT&T Labs-Research

3. Christian-Albrechts-Universität zu Kiel, Germany

4. Technische Universität Wien, Austria

Abstract

The amount of publicly available geo-referenced data has seen a dramatic explosion over the past few years. Many user activities generate data that are annotated with location and contextual information. Furthermore, it has become easier to collect and combine rich and diverse location information. In the context of geoadvertising, the use of geosocial data for targeted marketing is receiving significant attention from a wide spectrum of companies and organizations. With the advent of smartphones and online social networks, a multi-billion dollar industry that utilizes geosocial data for advertising and marketing has emerged. Geotagged social-media posts, GPS traces, data from cellular antennas and WiFi access points are used widely to directly access people for advertising, recommendations, marketing, and group purchases. Exploiting this torrent of geo-referenced data provides a tremendous potential to materially improve existing recommendation services and offer novel ones, with numerous applications in many domains, including social networks, marketing, and tourism.

Publisher

Association for Computing Machinery (ACM)

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