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» Using User Models in Music Information Retrieval Systems
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153
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KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 6 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
131
Voted
FQAS
2000
Springer
107views Database» more  FQAS 2000»
15 years 7 months ago
Measuring Effectiveness in Fuzzy Information Retrieval
- We investigate extensions of the classical measurement of effectiveness in information retrieval systems, precision and recall, to situations where the answer is modeled by a fuz...
Maria J. Martín-Bautista, Daniel Sán...
129
Voted
IPM
2008
139views more  IPM 2008»
15 years 3 months ago
Complex adaptive filtering user profile using graphical models
This article explores how to develop complex data driven user models that go beyond the bag of words model and topical relevance. We propose to learn from rich user specific info...
Yi Zhang 0001
98
Voted
IEAAIE
2004
Springer
15 years 9 months ago
Iterative Semi-supervised Learning: Helping the User to Find the Right Records
This paper proposes extending semi-supervised learning by allowing an ongoing interaction between a user and the system. The extension is intended to not only to speed up search fo...
Chris Drummond
129
Voted
CONTEXT
2007
Springer
15 years 7 months ago
A Personalized Retrieval Model based on Influence Diagrams
Abstract. A key challenge in information retrieval is the use of contextual evidence within ad-hoc retrieval. Our contribution is particularly based on the belief that contextual r...
Nesrine Zemirli, Lynda Tamine, Mohand Boughanem