Call for Papers


Driven by technological advances in hardware (positioning systems, environmental sensors), software (standards, tools, network services), and aided by various open movements (open, linked, government data) and the ever-growing mentality of sharing for the greater good (crowdsourcing, crowdfunding, collaborative and volunteered geographic information), the amount of available geo-referenced data has seen 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. Exploiting this torrent of geo-referenced data provides a tremendous potential to materially improve existing and offer novel types of recommendation services, with clear benefits in many domains, including social networks, marketing, and tourism.

Fully exploiting the potential of location-aware recommendations, 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. Bringing together scholars and practitioners from these communities, the aim of this workshop is to provide a unique forum for discussing in depth and collecting feedback about the challenges, opportunities, novel techniques and applications of location-aware recommendations, in order to fuel better and novel recommender systems beyond the current research frontiers.

We solicit original contributions of long and short papers addressing the following non-comprehensive list of topics:

Location-based social networks
  • friend/communities recommendations
  • event, venue, and other location-aware recommendations
  • extracting preferences, tips, ratings, patterns, habits
  • modeling geo-social influence of users and locations
  • Location-based marketing
  • viral campaigning
  • event planning
  • location-based advertising
  • Tourism and mobile commerce
  • trip planning and recommendations
  • automatic guide and tour generation
  • exhibition arrangement
  • Evaluation of location-aware recommender systems
  • collaborative filtering vs. content-based recommendations
  • case and empirical studies
  • evaluation methods and metrics
  • datasets and benchmarks
  • Security and privacy implications
  • spatial anonymization and cloaking
  • attack and threat scenarios
  • Selected best papers will be invited for an upcoming special issue of the Journal of Information Technology & Tourism (JITT) published by Springer.