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ICDE
2009
IEEE
155views Database» more  ICDE 2009»
14 years 2 months ago
Join Optimization of Information Extraction Output: Quality Matters!
— Information extraction (IE) systems are trained to extract specific relations from text databases. Real-world applications often require that the output of multiple IE systems...
Alpa Jain, Panagiotis G. Ipeirotis, AnHai Doan, Lu...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 10 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...
SIGIR
2012
ACM
11 years 10 months ago
Language intent models for inferring user browsing behavior
Modeling user browsing behavior is an active research area with tangible real-world applications, e.g., organizations can adapt their online presence to their visitors browsing be...
Manos Tsagkias, Roi Blanco
ICDM
2009
IEEE
148views Data Mining» more  ICDM 2009»
14 years 2 months ago
Hierarchical Bayesian Models for Collaborative Tagging Systems
—Collaborative tagging systems with user generated content have become a fundamental element of websites such as Delicious, Flickr or CiteULike. By sharing common knowledge, mass...
Markus Bundschus, Shipeng Yu, Volker Tresp, Achim ...
SIGIR
2008
ACM
13 years 7 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang