6533b854fe1ef96bd12ae808
RESEARCH PRODUCT
The Fourth ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising
Tamraparni DasuDimitris SacharidisMatthias RenzPanagiotis BourosYaron Kanzasubject
Event (computing)Computer sciencebusiness.industryContext (language use)02 engineering and technologyGeneral MedicineTargeted marketingWorld Wide Web020204 information systems0202 electrical engineering electronic engineering information engineeringLiberian dollarGlobal Positioning SystemContextual information020201 artificial intelligence & image processingbusinessTourismdescription
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 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-01-25 | SIGSPATIAL Special |