English»Classic Information Retrieval»Query Reformulation, Expansion, and Autocompletion | searchivarius.org
log in | about 

A Survey of Automatic Query Expansion in Information Retrieval  C Carpineto, G Romano
A Survey of Pre-Retrieval Query Performance Predictors  Claudia Hauff, Djoerd Hiemstra, Franciska de Jong
Analyzing and evaluating query reformulation strategies in web search logs  Jeff Huang, Efthimis N. Efthimiadis
Analyzing geographic query reformulation: An exploratory study  Saad Aloteibi, Mark Sanderson
Automatic Term Mismatch Diagnosis for Selective Query Expansion  Le Zhao, Jamie Callan
Automatic Boolean Query Suggestion for Professional Search  Youngho Kim, Jangwon Seo, W. Bruce Croft
Discovering Key Concepts in Verbose Queries  Michael Bendersky, W. Bruce Croft
Effective pre-retrieval query performance prediction using similarity and variability evidence  Ying Zhao, Falk Scholer, Yohannes Tsegay
Estimation and Use of Uncertainty in Pseudo-relevance Feedback  Kevyn Collins-Thompson, Jamie Callan
Finding Query Suggestions for PubMed  Zhiyong Lu, W. John Wilbur, Johanna R McEntyre, Alexey Iskhakov, Lee Szilagyi
Generating Query Substitutions  R Jones, B Rey, O Madani, W Greine
Generating query substitutions  Rosie Jones, Benjamin Rey, Omid Madani, Wiley Greiner
Inferring query performance using pre-retrieval predictors.  Ben He, Iadh Ounis
Latent Semantic Indexing (LSI) and TREC-2  Susan T. Dumais
Mining term association patterns from search logs for effective query reformulation  Xuanhui Wang, ChengXiang Zhai
Probabilistic Query Expansion Using Query Logs  Hang Cui, Ji-Rong Wen, Jian-Yun Nie, Wei-Ying Ma
Query Auto Completion in Information Retrieval  Fei Cai
Query expansion using local and global document analysis  J Xu, WB Croft
Query Rewriting in Search Engines  Hugh Williams
Reducing Long Queries Using Query Quality Predictors  Giridhar Kumaran , Vitor R. Carvalho
Usersʼ Adjustments to Unsuccessful Queries in Biomedical Search  G. Craig Murray, Jimmy Lin, John Wilbur, Zhiyong Lu