4th ACM SIGSPATIAL Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising
Held in conjunction with the 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2020)

Venue: Seattle, Washington, USA
Date: November 3, 2020
URL: https://localrec2020.github.io

The amount of publicly available geo-referenced data has seen a dramatic explosion over the past few years. Human activities generate data and traces that are now often transparently annotated with location and contextual information. At the same time, it has become easier than ever to collect and combine rich and diverse information about locations. For instance, in the context of geo-advertising, the use of geosocial data for targeted marketing are receiving significant interest 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. For example, geospatial data about people such as geotagged social media posts, GPS traces, data from cellular antennas and WiFi access points are used on a wide scale 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 clear benefits in many domains, including social networks, marketing, and tourism. This requires new technologies to collect, store, analyze and use the data. It also raises issues in the area of responsibility, accountability, transparency, fairness, adequacy (e.g. avoiding ads in improper places) and preventing misconduct.

Fully exploiting this potential requires addressing many core challenges and combining ideas and techniques from various research communities, such as recommender systems, data management, geographic information systems, social network analytics and text mining. By bringing together researchers and practitioners from these communities, this workshop aims to provide a unique forum for discussing in depth and collecting feedback about challenges, opportunities, novel techniques and applications.

We solicit original contributions of both long and short research or survey papers and short vision or demonstration papers addressing the following non-comprehensive list of topics:

Location-aware recommender systems
  * location as context
  * collaborative filtering vs. content-based recommendations
  * case and empirical studies
  * evaluation methods and metrics; datasets and benchmarks

Geosocial networks
  * recommendations for locations, events, venues, travel
  * friend and community suggestions
  * extracting preferences, tips, ratings, patterns, habits
  * modeling geo-social influence of users and locations
  * location-aware video games

  * location-aware viral campaigns
  * use of location data to match people to relevant ads and content

  * geotargeting to deliver content to a user based on her or his geographic location
  * location-based intelligence to improve the odds of a particular message reaching the right consumer at the right time
  * proximity marketing; beacons and IoT

  * trip planning and recommendations for travel destinations, tourist routes and points of interest
  * automatic guide and tour generation
  * exhibition arrangement

Security and privacy in location-aware applications
  * attack and threat scenarios
  * spatial anonymization and cloaking
  * restrictions on content delivery
  * prevention of inadequacy or misconduct
  * accountability, transparency, fairness

Workshop proceedings will be indexed by DBLP and will appear on ACM Digital Library.

Submitted papers must be uploaded in PDF format and formatted according to the standard double-column ACM SIG proceedings guidelines that also apply to the ACM SIGSPATIAL conference submissions, through the EasyChair submission site:
Long paper submissions can be up to 10 pages and short papers up to 4 pages.

Important Dates
  Abstract Deadline: August 17, 2020
  Paper Deadline: August 24, 2020
  Notification: September 21, 2020
  Camera-Ready: September 28, 2020

  All Deadlines at 23:59 AoE

Organization Committee
  Panagiotis Bouros, Johannes Gutenberg University Mainz, Germany
  Tamraparni Dasu, AT&T Labs - Research, USA
  Yaron Kanza, AT&T Labs - Research, USA
  Matthias Renz, Christian-Albrechts-Universitaet zu Kiel, Germany
  Dimitris Sacharidis, Technische Universitaet Wien, Austria

Program Committee (incomplete)
Nikolaos Armenatzoglou, Amazon
Paolo Bellavista, University of Bologna, Italy
Michela Bertolotto, University College Dublin, Ireland
Nikos Bikakis, University of Ioannina, Greece
Theodoros Chondrogiannis, University of Konstanz, Germany
Arie Croitoru, George Mason University, USA
Ahmed Eldawy, University of California, Riverside, USA
Mouzhi Ge, Masaryk University, Czech Republic
Gabriel Ghinita, University of Massachusetts, Boston, USA
Giorgos Giannopoulos, Athena Research Center, Greece
Haosheng Huang, Ghent University, Belgium
Vana Kalogeraki, Athens University of Economics and Business, Greece
Yuhao Kang, University of Wisconsin-Madison, USA
Hua Lu, Roskilde University, Denmark
Bernd Ludwig, University Regensburg, Germany
Amr Magdy, University of California, Riverside, USA
Mohamed Mokbel, University of Minnesota, USA
Kjetil Nørvåg, Norwegian University of Science and Technology, Norway
Dimitris Papadias, The Hong Kong University of Science and Technology, Hong Kong
Dimitrios Skoutas, Athena Research Center, Greece
Kostas Stefanidis, University of Tampere, Finland
Man Lung Yiu, The Hong Kong Polytechnic University, Hong Kong
Xiaofang Zhou, The University of Queensland, Australia