{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:58:50Z","timestamp":1750309130341,"version":"3.41.0"},"reference-count":14,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGSPATIAL Special"],"published-print":{"date-parts":[[2022,11]]},"abstract":"<jats:p>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 is 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, people-specific geospatial data 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.<\/jats:p>","DOI":"10.1145\/3632268.3632274","type":"journal-article","created":{"date-parts":[[2023,11,7]],"date-time":"2023-11-07T17:08:06Z","timestamp":1699376886000},"page":"19-22","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["LocalRec 2022 Workshop Report: The Sixth ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising Seattle, Washington, USA, November 1, 2022"],"prefix":"10.1145","volume":"14","author":[{"given":"Panagiotis","family":"Bouros","sequence":"first","affiliation":[{"name":"Johannes Gutenberg University Mainz, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tamraparni","family":"Dasu","sequence":"additional","affiliation":[{"name":"Fairleigh Dickinson University, U.S.A"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaron","family":"Kanza","sequence":"additional","affiliation":[{"name":"AT&amp;T Data Science and AI Research, U.S.A"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthias","family":"Renz","sequence":"additional","affiliation":[{"name":"Christian-Albrechts-Universit\u00e4t zu Kiel, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dimitris","family":"Sacharidis","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Libre de Bruxelles, Belgium"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,11,7]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"LocalRec 2019 workshop report: The Third ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising: Chicago, Illinois, USA -","author":"Bouros P.","year":"2019","unstructured":"P. Bouros , T. Dasu , Y. Kanza , M. Renz , and D. Sacharidis . LocalRec 2019 workshop report: The Third ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising: Chicago, Illinois, USA - November 5, 2019 . ACM SIGSPATIAL Special, 11(3):30--33 , 2019. P. Bouros, T. Dasu, Y. Kanza, M. Renz, and D. Sacharidis. LocalRec 2019 workshop report: The Third ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising: Chicago, Illinois, USA - November 5, 2019. ACM SIGSPATIAL Special, 11(3):30--33, 2019."},{"key":"e_1_2_1_2_1","volume-title":"The Fourth ACM SIGSPATIAL Workshop on Location-Based Recommendations, Geosocial Networks and Geoadvertising: online event -","author":"Bouros P.","year":"2020","unstructured":"P. Bouros , T. Dasu , Y. Kanza , M. Renz , and D. Sacharidis . 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P. Bouros, T. Dasu, Y. Kanza, M. Renz, and D. Sacharidis, editors. Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising, LocalRec 2021, Beijing, China, 2 November 2021. ACM, 2021."},{"key":"e_1_2_1_4_1","volume-title":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising, LocalRec 2022","author":"Bouros P.","year":"2022","unstructured":"P. Bouros , T. Dasu , Y. Kanza , M. Renz , and D. Sacharidis , editors . Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising, LocalRec 2022 , Seattle, Washington, USA , 1 November 2022 . ACM, 2022. P. Bouros, T. Dasu, Y. Kanza, M. Renz, and D. Sacharidis, editors. 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