Abstract
Twitter, a microblogging site, has become a major platform of communication of users on the web. Recently, location based social networking sites such as Foursquare have become popular which enable users to publish their visited places through check-ins. In this paper, we present a study of users' eat-out preferences who share their Foursquare restaurant check-ins through Twitter. Our study reveals a strong correlation of a user's eat-out preference and the linguistic features of her tweets, i.e., word use. Hence, our proposed model enables one to predict a user's eat-out preference from her word-use in Twitter.
| Original language | English |
|---|---|
| Title of host publication | WebSci 2016 - Proceedings of the 2016 ACM Web Science Conference |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 350-351 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781450342087 |
| DOIs | |
| Publication status | Published - 2016 |
| Externally published | Yes |
| Event | Annual ACM Web Science Conference (WebSci) 2016 - Hannover, Germany Duration: 22 May 2016 → 25 May 2016 Conference number: 8th http://websci16.org/?utm_source=researchbib https://dl.acm.org/doi/10.1145/2908131.2908199 (Proceedings) |
Conference
| Conference | Annual ACM Web Science Conference (WebSci) 2016 |
|---|---|
| Abbreviated title | WebSci 2016 |
| Country/Territory | Germany |
| City | Hannover |
| Period | 22/05/16 → 25/05/16 |
| Internet address |
Keywords
- Check-ins
- Eat-out preferences
- Foursquare
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