Search results for "Target distribution"

showing 2 items of 2 documents

Tracking the Preferences of Users Using Weak Estimators

2011

Published version of am article from the book:AI 2011: Advances in Artificial Intelligence. Also available from the publisher on SpringerLink:http://dx.doi.org/10.1007/978-3-642-25832-9_81 Since a social network, by definition, is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications which range from service recommender systems to the targeted advertising of services. However, unlike traditional estimation problems where the underlying target distribution is stationary, estimating a user’s interests, typically, involves non-stationary distributions. The consequent time varying nature of the distribution to be trac…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Service (systems architecture)Social networkbusiness.industryComputer scienceEstimatorRecommender systemTracking (particle physics)Machine learningcomputer.software_genreTarget distributionVDP::Mathematics and natural science: 400::Information and communication science: 420::Knowledge based systems: 425Targeted advertisingRange (statistics)Artificial intelligencebusinesscomputer
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An adaptive approach to learning the preferences of users in a social network using weak estimators

2012

Published version of an article in the journal: Journal of Information Processing Systems. Also available from the publisher at: http://dx.doi.org/10.3745/JIPS.2012.8.2.191 - Open Access Since a social network by definition is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications, which range from service recommender systems to the targeted advertising of services. However, unlike traditional estimation problems where the underlying target distribution is stationary; estimating a user's interests typically involves non-stationary distributions. The consequent time varying nature of the distribution to be tracked i…

Profiling (computer programming)Service (systems architecture)Social networkbusiness.industryComputer scienceEstimatorRecommender systemMachine learningcomputer.software_genreVDP::Mathematics and natural science: 400::Mathematics: 410Target distributionVDP::Mathematics and natural science: 400::Information and communication science: 420time varying preferencesweak estimatorsTargeted advertisingRange (statistics)Artificial intelligencebusinesscomputerSoftwareuser's profilingInformation Systems
researchProduct