Firefox Extension Framework for News Article Tagging
FEFNAT is a Firefox extension that is used to collect information about user interests when viewing new articles. When a user is reading a news article on a web-page, he can vote whether the article was interesting or not interesting by clicking the appropriate button on the extension's tool-bar. The purpose of this extension is to collet user interests and behavior while viewing new articles so that it can be used in my research for predicting how interesting future news article may be for the user.
- Short Name / Acronym:
- FEFNAT
- Project Type:
- Closed Source
- Site Accession Number:
- 3940; UCRL-CODE-223521
- Software Type:
- Scientific
- Programming Language(s):
- Java; JavaScript; PHP; XUL
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOEPrimary Award/Contract Number:W-7405-ENG-48
- DOE Contract Number:
- W-7405-ENG-48
- Code ID:
- 13315
- OSTI ID:
- 1230899
- Country of Origin:
- United States
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