Community:Recommendation - Revision history

BobFerris at 22:26, 2 February 2011

2011-02-02T22:26:50Z

BobFerris at 22:25, 2 February 2011

2011-02-02T22:25:48Z

BobFerris: New page: {{Domain Template |Name=Recommendation |Description=Recommendation is the subject of recommender systems (see [http://en.wikipedia.org/wiki/Recommender_system Recommender system @ Wikipedi...

2011-02-02T22:21:39Z

New page: {{Domain Template |Name=Recommendation |Description=Recommendation is the subject of recommender systems (see [http://en.wikipedia.org/wiki/Recommender_system Recommender system @ Wikipedi...

New page

{{Domain Template
|Name=Recommendation
|Description=Recommendation is the subject of recommender systems (see [http://en.wikipedia.org/wiki/Recommender_system Recommender system @ Wikipedia])
}}
{{List of ontologies of this domain}}
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Recommendation is the subject of recommender systems, which "form or work from a specific type of information filtering system technique that attempts to recommend information items (movies, TV program/show/episode, video on demand, music[1], books, news, images, web pages, scientific literature such as research papers etc.) that are likely to be of interest to the user.

Typically, a recommender system compares a user profile to some reference characteristics, and seeks to predict the 'rating' that a user would give to an item they had not yet considered. These characteristics may be from the information item (the content-based approach) or the user's social environment (the collaborative filtering approach)." (see [http://en.wikipedia.org/wiki/Recommender_system Recommender System @ Wikipedia]).
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 {{List of ontologies of this domain}}
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-Recommendation is the subject of recommender systems, which "form or work from a specific type of information filtering system technique that attempts to recommend information items (movies, TV program/show/episode, video on demand, music[1], books, news, images, web pages, scientific literature such as research papers etc.) that are likely to be of interest to the user.
+Recommendation is the subject of recommender systems, which "form or work from a specific type of information filtering system technique that attempts to recommend information items (movies, TV program/show/episode, video on demand, [http://ontologydesignpatterns.org/wiki/Community:Music music], books, news, images, web pages, scientific literature such as research papers etc.) that are likely to be of interest to the user.
 Typically, a recommender system compares a [http://ontologydesignpatterns.org/wiki/Community:Personalization user profile] to some reference characteristics, and seeks to predict the 'rating' that a user would give to an item they had not yet considered. These characteristics may be from the information item (the content-based approach) or the user's social environment (the collaborative filtering approach)." (see [http://en.wikipedia.org/wiki/Recommender_system Recommender System @ Wikipedia]).
 {{My references}}
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