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The amount of publicly available geo-referenced data has seen a dramatic explosion over the past few years. Human activity generates data and traces that are 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 location information. For instance, 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 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. It also raises issues in the area of responsibility, accountability, transparency, fairness, adequacy (e.g., avoiding ads in improper places) and preventing misconduct.
Achieving the full potential of geo-referenced data 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. This in turn means 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, the LocalRec workshop aims to provide a unique forum for discussing in depth and collecting feedback about challenges, opportunities, novel techniques, and applications related to location-based recommendation, geosocial networks and geoadvertising.
Proceeding Downloads
Utilizing location-based social media for trip mining and recommendation
Wolfgang Wörndl has given an invited talk at the 6th ACM SIGSPATIAL Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising (LocalRec) on November 1, 2022. This paper provides a summary of the topics addressed.
DRIFT: E2EE spatial feature sharing & instant messaging
Most online communication today is inherently temporal and aspatial. Instant messaging (IM) services are structured around a timeline interface which prioritizes a linear succession of events and guides our attention towards the novel. In this way, the ...
Doing groceries again: towards a recommender system for grocery stores selection
Choosing a store (i.e. grocery, restaurant etc.) depends on different decision criteria. If the data for these criteria is distributed among different sources a user might need to invest a substantial amount of time to aggregate the necessary ...
Addressing the location A/B problem on Twitter: the next generation location inference research
Often, global and regional topics on Twitter across multiple thematic areas, such as disasters, politics, protests, entertainment, epidemics, literature, travel, culture, weather, etc., witness an unprecedented level of exchange of conversations. An ...
Preference aware route recommendation using one billion geotagged tweets
Twitter is a popular social networking service where people send short messages called tweets. Tweets contain metadata such as language, hashtags, geotags, and time of creation. We focus on the geotags of tweets. A Geo-tag is georeferenced information ...
Co-location and air pollution exposure: case studies on the usefulness of location privacy
Location privacy has long been studied, in order to protect users' location data from untrusted servers. While existing research analyzed location privacy methods with generic utility measures, the lack of application-oriented perspectives imposes ...
Fuzzy representation of vague spatial descriptions in real estate advertisements
Geocoding a spatial description is challenging since vernacular place names and vague spatial expressions give uncertainty and ambiguity to the description. Usually, digital gazetteers are used to match geospatial objects to their boundaries. However, ...
Recommendations
The Fourth ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising: online event --- November 3, 2020: LocalRec 2020 workshop report
The amount of publicly available geo-referenced data has seen a dramatic increase over the last years. Many user activities generate data that are annotated with location and contextual information. Moreover, it has become easier to collect and combine ...
Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
LocalRec '19 | 12 | 6 | 50% |
LocalRec'18 | 4 | 3 | 75% |
LocalRec'17 | 10 | 8 | 80% |
Overall | 26 | 17 | 65% |