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| Content Provider | ACM Digital Library |
|---|---|
| Author | Shah, Chirag Singh, Vivek Choi, Dongho |
| Abstract | As increasingly diverse facets of human life - including socializing, exercising, and information-seeking - are mediated by ubiquitous technology, they open the doors for the study of the hitherto under-explored interconnections between them. This work motivates and grounds the use of geo-exploration data to predict the information exploration behavior of users and to support their search. Based on a two-week field study involving 35 participants, we have identified multiple geo-exploration features that have significant associations with a user's information exploration behavior. We also found that the same geo-exploration features could be combined to build predictive models for various facets of an individual's information exploration behavior, and these models performed significantly better than comparable personality-based models. |
| Starting Page | 1170 |
| Ending Page | 1175 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450344616 |
| DOI | 10.1145/2971648.2971694 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-09-12 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Geo-exploration Information exploration Exploratory search |
| Content Type | Text |
| Resource Type | Article |
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