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WWW
2010
ACM
15 years 4 months ago
Actively predicting diverse search intent from user browsing behaviors
This paper is concerned with actively predicting search intent from user browsing behavior data. In recent years, great attention has been paid to predicting user search intent. H...
Zhicong Cheng, Bin Gao, Tie-Yan Liu
CIKM
2006
Springer
15 years 1 months ago
Measuring the meaning in time series clustering of text search queries
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we di...
Bing Liu 0003, Rosie Jones, Kristina Lisa Klinkner
SIGIR
2011
ACM
14 years 19 days ago
Cluster-based fusion of retrieved lists
Methods for fusing document lists that were retrieved in response to a query often use retrieval scores (or ranks) of documents in the lists. We present a novel probabilistic fusi...
Anna Khudyak Kozorovitzky, Oren Kurland
SIGIR
2006
ACM
15 years 3 months ago
Regularized estimation of mixture models for robust pseudo-relevance feedback
Pseudo-relevance feedback has proven to be an effective strategy for improving retrieval accuracy in all retrieval models. However the performance of existing pseudo feedback meth...
Tao Tao, ChengXiang Zhai
SIGIR
2010
ACM
14 years 10 months ago
Estimating interference in the QPRP for subtopic retrieval
The Quantum Probability Ranking Principle (QPRP) has been recently proposed, and accounts for interdependent document relevance when ranking. However, to be instantiated, the QPRP...
Guido Zuccon, Leif Azzopardi, Claudia Hauff, Keith...