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Collaborative search engines (CSE) are Web search engines and enterprise searches within company intranets that let users combine their efforts in information...

Collaborative filtering (CF) is a technique used by recommender systems. Collaborative filtering has two senses, a narrow one and a more general one. In...

collaboration Collaborative governance Collaborative innovation network Collaborative leadership Collaborative search engine Collaborative translation Commons-based...

management Croquet project, collaborative virtual environment Open Wonderland, open source Java toolkit to make collaborative 3D virtual worlds Wiki engines:...

the design of recommender systems that has wide use is collaborative filtering. Collaborative filtering is based on the assumption that people who agreed...

concurrent search, collaborative exploratory search, co-browsing, collaborative information behavior, collaborative information synthesis, and collaborative information...

the filter strategy (e.g. information gain), the wrapper strategy (e.g. search guided by accuracy), and the embedded strategy (selected features are added...

search effort in Southeast Asia and the southern Indian Ocean that became the most expensive search in aviation history. Despite delays, the search of...

Matrix factorization is a class of collaborative filtering algorithms used in recommender systems. Matrix factorization algorithms work by decomposing...

available then a pure collaborative algorithm cannot recommend the item. In case only a few interactions are available, although a collaborative algorithm will...

it was indexed. Collaborative search engine Data defined storage Enterprise bookmarking Enterprise information access Faceted search Information extraction...

it comes to expanding the long tail. Some recommenders (i.e. certain collaborative filters) can exhibit a bias toward popular products, creating positive...

support them." Regarding available interaction, collaborative software may be divided into real-time collaborative editing platforms that allow multiple users...

Methods for examining collaborative learning processes include conversation analysis and statistical discourse analysis. Thus, collaborative learning is commonly...

The Netflix Prize was an open competition for the best collaborative filtering algorithm to predict user ratings for films, based on previous ratings...

SERPS, or "search engine results pages". Audio search engine – web-based search engine which crawls the web for audio content. Collaborative search engine...

Similarity search is the most general term used for a range of mechanisms which share the principle of searching (typically very large) spaces of objects...

by models of collaborative tagging. Recent research using data from the social bookmarking website Delicious, has shown that collaborative tagging systems...

Throughout its mission, Search Bloc faced many obstacles, including a spy within the group. There were claims that the Search Bloc collaborated with anti-Escobar...

Item-item collaborative filtering, or item-based, or item-to-item, is a form of collaborative filtering for recommender systems based on the similarity...