Abstract
In order to realize zero-effort retrieval in a web-context, it is crucial to identify the part of the web page the user is focusing on. In this paper, we investigate the identification of focus paragraphs in web pages. Starting from a naive baseline for paragraph and focus paragraph detection, we conducted an eye-tracking study to evaluate the most promising features. We found that single features (mouse position, paragraph position, mouse activity) are less predictive for gaze which confirms findings from other studies. The results indicate that an algorithm for focus paragraph detection needs to incorporate a weighted combination of those features as well as additional features, e.g. semantic context derived from the user's web history.
Original language | English |
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Title of host publication | CHIIR'17 |
Subtitle of host publication | Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval |
Publisher | ACM Press |
Pages | 301-304 |
Number of pages | 4 |
ISBN (Print) | 978-1-4503-4677-1 |
DOIs | |
Publication status | Published - 2017 |
Externally published | Yes |
Event | Conference Human Information Interaction and Retrieval, CHIIR 2017 - Oslo, Norway Duration: 7 Mar 2017 → 11 Mar 2017 http://sigir.org/chiir2017/ |
Conference
Conference | Conference Human Information Interaction and Retrieval, CHIIR 2017 |
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Abbreviated title | CHIIR 2017 |
Country/Territory | Norway |
City | Oslo |
Period | 7/03/17 → 11/03/17 |
Internet address |
Keywords
- Eye tracking
- Focus paragraph detection
- Zero-effort queries