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is the most general term used for a range of mechanisms which share the principle of searching (typically very large) spaces of objects...
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filtering algorithms used in recommender systems. Matrix factorization algorithms work by decomposing...
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tagging. Recent research using data from the social bookmarking website Delicious, has shown that
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algorithm cannot recommend the item. In case only a few interactions are available, although a
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digital archives by Dominic McDevitt-Parks 1948599The Text Message — Wikimedia and the new
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learning processes include conversation analysis and statistical discourse analysis. Thus,
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engine Data defined storage Enterprise bookmarking Enterprise information access Faceted
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effort in Southeast Asia and the southern Indian Ocean that became the most expensive
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filtering algorithm to predict user ratings for films, based on previous ratings...
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for documents is. Precision = a : (a + b) X 100%, where a = number of retrieved...
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within company intranets that let users combine their efforts in information...
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guided by accuracy), and the embedded strategy (selected features are added...
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for truth. Donald T. Campell, in "Asch's Moral Epistemology for Socially
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filters) can exhibit a bias toward popular products, creating positive...
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the filter strategy (e.g. information gain), the wrapper strategy (e.g.
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information for the database, however other methods are used as well.
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virtual environment Open Wonderland, open source Java toolkit to make
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it comes to expanding the long tail. Some recommenders (i.e. certain
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filtering is a commonly used system, though because it does not deal
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goal must be sharply distinguished from consensus discovered in the
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filtering has two senses, a narrow one and a more general one. In...
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filtering is based on the assumption that people who agreed...
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filtering for recommender systems based on the similarity...
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filtering (CF) is a technique used by recommender systems.
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for experts, data or content Employee Driven: Approved...
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filtering, or item-based, or item-to-item, is a form of
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The Netflix Prize was an open competition for the best
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the design of recommender systems that has wide use is
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support them." Regarding available interaction,
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Index

Content pages
Multimedia
Everything
Advanced
Collaborative search

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Collaborative search engine
Thumbnail for Collaborative filtering
Collaborative filtering
Thumbnail for Collaboration
Collaboration
Collaborative
List of collaborative software
Recommender system
Recommendation search engine
Thumbnail for Search for Malaysia Airlines Flight 370
Search for Malaysia Airlines Flight 370
Cold start (recommender systems)
Dimensionality reduction
Matrix factorization (recommender systems)
Enterprise search
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Long tail
Item-item collaborative filtering
Netflix Prize
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