About: FeedZero (deleted 31 Mar 2008 at 17:11)

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About: FeedZero (deleted 31 Mar 2008 at 17:11) Sponge Permalink

An Entity of Type : dbkwik:resource/uv_ANdBwsyhJtx4kWjQjSQ==, within Data Space : 134.155.108.49:8890 associated with source dataset(s)

FeedZero is a web-based feed aggregator that uses bayesian filtering to automatically classify articles according to the user's preferences. Preferences are determined by "training" the filter as to the user's preferences, by specifying whether or not individual articles are of interest. The more articles that are explicitly "liked" or "disliked", the better the filter becomes at determining which articles the user will like. Use of the website is free, although registration is required.

Attributes	Values
rdf:type	Website
rdfs:label	FeedZero (deleted 31 Mar 2008 at 17:11)
rdfs:comment	FeedZero is a web-based feed aggregator that uses bayesian filtering to automatically classify articles according to the user's preferences. Preferences are determined by "training" the filter as to the user's preferences, by specifying whether or not individual articles are of interest. The more articles that are explicitly "liked" or "disliked", the better the filter becomes at determining which articles the user will like. Use of the website is free, although registration is required.
dbkwik:speedydelet...iPageUsesTemplate	dbkwik:resource/G4qIUW8wKFQ2UnLJXakg9Q== dbkwik:resource/WOr5NXgFkPqCG14aK72mWA==
Name	FeedZero
Type	dbkwik:resource/llPqqcpqEwUzc4pHKYEAjw== dbkwik:resource/r5cF8y1mYNOhkC_14riv9w==
Caption	Bloglines feed view
Current status	Active
Author	dbkwik:resource/-bHvMdir7XKuiP62fVSpjw==
Registration	Required, Free
Screenshot	250(xsd:integer)
url	dbkwik:resource/mkcgWgR85E9LCQYCuiIiow==
Launch date	2008(xsd:integer)
Owner	dbkwik:resource/-bHvMdir7XKuiP62fVSpjw==
abstract	FeedZero is a web-based feed aggregator that uses bayesian filtering to automatically classify articles according to the user's preferences. Preferences are determined by "training" the filter as to the user's preferences, by specifying whether or not individual articles are of interest. The more articles that are explicitly "liked" or "disliked", the better the filter becomes at determining which articles the user will like. Use of the website is free, although registration is required.

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