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» Comparing relevance feedback algorithms for web search
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CORR
2010
Springer
123views Education» more  CORR 2010»
13 years 6 months ago
Feature Construction for Relational Sequence Learning
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...
Nicola Di Mauro, Teresa Maria Altomare Basile, Ste...
MM
2006
ACM
155views Multimedia» more  MM 2006»
14 years 2 months ago
Robust voting algorithm based on labels of behavior for video copy detection
This paper presents an efficient approach for copies detection in a large videos archive consisting of several hundred of hours. The video content indexing method consists of ext...
Julien Law-To, Olivier Buisson, Valérie Gou...
RECSYS
2009
ACM
14 years 2 months ago
Getting recommender systems to think outside the box
We examine the case of over-specialization in recommender systems, which results from returning items that are too similar to those previously rated by the user. We propose Outsid...
Zeinab Abbassi, Sihem Amer-Yahia, Laks V. S. Laksh...
SIGIR
2004
ACM
14 years 1 months ago
Human versus machine in the topic distillation task
This paper reports on and discusses a set of user experiments using the TREC 2003 Web interactive track protocol. The focus is on comparing humans and machine algorithms in terms ...
Mingfang Wu, Gheorghe Muresan, Alistair McLean, Mu...
MMS
2006
13 years 8 months ago
Collaborative image retrieval via regularized metric learning
In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between ...
Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu