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Title: Firefox Extension Framework for News Article Tagging

Software ·
DOI:https://doi.org/10.11578/dc.20180710.9· OSTI ID:1230899 · Code ID:13315

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:
USDOE

Primary 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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