Exploiting User and Venue Characteristics for Fine-Grained Tweet Geolocation | Zendy

Wen-Haw Chong | Zendy; EePeng Lim | Zendy

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Exploiting User and Venue Characteristics for Fine-Grained Tweet Geolocation

Author(s) -

Wen-Haw Chong,

EePeng Lim

Publication year - 2018

Publication title -

acm transactions on office information systems

Language(s) - English

Resource type - Journals

eISSN - 1558-1152

pISSN - 0734-2047

DOI - 10.1145/3156667

Subject(s) - geolocation , computer science , homophily , geotagging , context (archaeology) , exploit , information retrieval , focus (optics) , geocoding , learning to rank , task (project management) , spatial contextual awareness , data science , world wide web , ranking (information retrieval) , artificial intelligence , geography , cartography , physics , mathematics , computer security , archaeology , combinatorics , management , optics , economics

Which venue is a tweet posted from? We call this a fine-grained geolocation problem. Given an observed tweet, the task is to infer its discrete posting venue, e.g., a specific restaurant. This reco...

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