Call for Papers

The amount of publicly available geo-referenced data has seen a dramatic explosion over the past 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. With the advent of smartphones and social networks, a multi-billion dollar industry has emerged which utilizes geosocial data for advertising and marketing. 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, and group purchases. Exploiting this torrent of geo-referenced data provides a tremendous potential to materially improve existing services and offer novel ones, with clear benefits in multiple domains. Furthermore, with the recent technological advances, Generative AI and Large Language Models (LLMs) are also affecting the area of location-aware recommender systems and geoadvertising. In this context, new technologies are required for collecting, storing, analyzing and utilizing the data. Additionally, challenges in the areas of responsibility, accountability, transparency, fairness, adequacy (e.g. avoiding ads in improper places) and preventing misconduct, naturally arise.

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, text mining and Generative AI. 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

Generative AI

LLMs for recommender systems

applications of LLMs to travel planning

AI tools for geoadvertising

Geoadvertising and Geomarketing

location-aware viral campaigns

using 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

poximity marketing; beacons and IoT

Tourism

trip planning and recommendations for travel destinations, tourist routes, and points of interest

automatic guide and tour generation

exhibition arrangement

Privacy, responsibility and fairness

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 Digitial Library.