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» Score Distributions in Information Retrieval
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WWW
2008
ACM
16 years 7 months ago
Characterizing typical and atypical user sessions in clickstreams
Millions of users retrieve information from the Internet using search engines. Mining these user sessions can provide valuable information about the quality of user experience and...
Narayanan Sadagopan, Jie Li
KDD
2004
ACM
163views Data Mining» more  KDD 2004»
16 years 6 months ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
16 years 1 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
ICMCS
2005
IEEE
119views Multimedia» more  ICMCS 2005»
15 years 12 months ago
Polyphonic Audio Key Finding Using the Spiral Array CEG Algorithm
Key finding is an integral step in content-based music indexing and retrieval. In this paper, we present an O(n) real-time algorithm for determining key from polyphonic audio. We ...
Ching-Hua Chuan, Elaine Chew
WIDM
2005
ACM
15 years 12 months ago
Web path recommendations based on page ranking and Markov models
Markov models have been widely used for modelling users' navigational behaviour in the Web graph, using the transitional probabilities between web pages, as recorded in the w...
Magdalini Eirinaki, Michalis Vazirgiannis, Dimitri...