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Fur Affinity [2] (also written as FurAffinity) is a furry-centric art community that hosts artwork, literature, photography, and audio recordings. It was launched in 2005 by a pseudonymous individual using the moniker "Alkora" and was owned by Sean "Dragoneer" Piche through his limited liability corporation Ferrox Art from 2007 until 2015 when it was purchased by virtual world platform IMVU ...
Screenshot of the Interaction Timeline. Interaction Timeline shows a chronological history of two users' across pages where they both made edits. Enter two usernames and a wiki, and the Interaction Timeline will display a chronologic list of edits made by the two specified users on pages where both users have edited.
The Questionnaire For User Interaction Satisfaction (QUIS) is a tool developed to assess users' subjective satisfaction with specific aspects of the human-computer interface. It was developed in 1987 by a multi-disciplinary team of researchers at the University of Maryland Human–Computer Interaction Lab .
For wider and other interaction analysis, see: Wikipedia:Tools#User interaction analysis Topics referred to by the same term This page is a list of project pages associated with the same title or shortcut.
Matrix factorization algorithms work by decomposing the user-item interaction matrix into the product of two lower dimensionality rectangular matrices. [1] This family of methods became widely known during the Netflix prize challenge due to its effectiveness as reported by Simon Funk in his 2006 blog post, [ 2 ] where he shared his findings ...
The basic idea is the following. A matrix factorization model represents the user-item interactions as the product of two rectangular matrices whose content is learned using the known interactions via machine learning. Each user will be associated to a row of the first matrix and each item with a column of the second matrix.
Measures are generally used in two settings: online experimentation, which assesses users' interactions with the search system, and offline evaluation, which measures the effectiveness of an information retrieval system on a static offline collection.
Active users is a software performance metric that is commonly used to measure the level of engagement for a particular software product or object, by quantifying the number of active interactions from users or visitors within a relevant range of time (daily, weekly and monthly).