Examples of using Collaborative filtering in English and their translations into Greek
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Computer
What is Collaborative Filtering?
Recommendation system based on collaborative filtering.
User(collaborative filtering, personalization).
Recommendation Engines and collaborative filtering.
Collaborative filtering(CF) is out of question the most widely adopted and successful recommendation approach.
Algorithms for collaborative filtering.
Similarity computation between items orusers is a critical step in memory-based collaborative filtering algorithms.
See also Collaborative filtering.
Content recommendations through collaborative filtering.
User-based collaborative filtering models.
There are lots of ways to do user-based collaborative filtering.
Razor: spam-catcher using a collaborative filtering network(package info), orphaned since 1059 days.
Rule-based filtering, implicit profiling, collaborative filtering.
The underlying assumption of collaborative filtering is that those who have agreed, will agree again.
Gray sheep refers to the users whose opinions do not consistently agree or disagree with any group of people andthus do not benefit from collaborative filtering[46].
We have experience in supervised,unsupervised and collaborative filtering algorithms that can help your company increase its productivity.
Com, technologies like collaborative filtering, new ideas about marketing such as those expressed in The Cluetrain Manifesto, weblogs, and the way that Internet message boards can now move the stock market.
Recommender systems such as collaborative filtering.
For example, a collaborative filtering recommendation system for television tastes could make predictions about which television show a user should like given a partial list of that user's tastes(likes or dislikes).
Pattie Maes was also the key architect behind what was once called"collaborative filtering" and has become a key to Web 2.0.
Pattie Maes was the key architect behind what was once called"collaborative filtering" and has become a key to Web 2.0: the immense engine of recommendations-- or"things like this"-- fueled by other users.
Instruments: KMS support KM instruments, e.g., the capture, creation and sharing of information, the creation of corporate knowledge directories, taxonomies or ontologies, expertise locators,skill management systems, collaborative filtering and handling of interests used to connect people, the creation and fostering of communities or knowledge networks.
These systems, especially the k-nearest neighbor collaborative filtering based ones, are achieving widespread success on the Web.
These systems, especially the k-nearest neighbor and collaborative filtering based ones, are achieving widespread success in E-commerce and e-learning.
The methods of demographic filtering, content filtering, the collaborative filtering and hybrid methods are some of the data mining methods that analyzed and implemented in the application.
It consists of common learning algorithms and utilities, including classification, regression,clustering, collaborative filtering, dimensionality reduction, as well as lower-level optimization primitives and higher-level pipeline APIs.