(Enter summary)
Abstract: We present a principled methodology for filtering news stories by
formal measures of information novelty, and show how the techniques
can be used to custom-tailor newsfeeds based on information
that a user has already reviewed. We review methods for analyzing
novelty and then describe Newsjunkie, a system that personalizes
news for users by identifying the novelty of stories in the
context of stories they have already reviewed. Newsjunkie employs
novelty-analysis algorithms that represent... (Update)
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BibTeX entry: (Update)
E. Gabrilovich, S. Dumais, and E. Horvitz. Newsjunkie: Providing personalized newsfeeds via analysis of information novelty. In www13, 2004. http://citeseer.comp.nus.edu.sg/707113.html More
@misc{ gabrilovich04newsjunkie,
author = "E. Gabrilovich and S. Dumais and E. Horvitz",
title = "Newsjunkie: Providing personalized newsfeeds via analysis of information
novelty",
text = "E. Gabrilovich, S. Dumais, and E. Horvitz. Newsjunkie: Providing personalized
newsfeeds via analysis of information novelty. In www13, 2004.",
year = "2004",
url = "citeseer.comp.nus.edu.sg/707113.html" }
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