On term selection for query expansion
Journal of Documentation
Evaluation of an inference network-based retrieval model
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
Relevance feedback and other query modification techniques
Information retrieval
A user-centred evaluation of ranking algorithms for interactive query expansion
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
The effect multiple query representations on information retrieval system performance
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic combination of multiple ranked retrieval systems
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Natural language information retrieval
TREC-2 Proceedings of the second conference on Text retrieval conference
Terminological knowledge structure for intermediary expert systems
Information Processing and Management: an International Journal
Optimization of relevance feedback weights
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Information Processing and Management: an International Journal - Special issue on history of information science
Machine Learning
Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Method combination for document filtering
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Combining classifiers in text categorization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Analyses of multiple evidence combination
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic feedback using past queries: social searching?
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Interaction in information retrieval: selection and effectiveness of search terms
Journal of the American Society for Information Science
Lexical navigation: visually prompted query expansion and refinement
DL '97 Proceedings of the second ACM international conference on Digital libraries
Predicting the performance of linearly combined IR systems
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Local Feedback in Full-Text Retrieval Systems
Journal of the ACM (JACM)
Improving the effectiveness of information retrieval with local context analysis
ACM Transactions on Information Systems (TOIS)
Information retrieval on the web
ACM Computing Surveys (CSUR)
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
An information-theoretic approach to automatic query expansion
ACM Transactions on Information Systems (TOIS)
Journal of the American Society for Information Science
Applying summarization techniques for term selection in relevance feedback
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Relevance score normalization for metasearch
Proceedings of the tenth international conference on Information and knowledge management
A freely available wide coverage morphological analyzer for English
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
Journal of Artificial Intelligence Research
Tuning before feedback: combining ranking discovery and blind feedback for robust retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Multi-Dimensional Evaluation of Information Retrieval Results
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Using web structure and summarisation techniques for web content mining
Information Processing and Management: an International Journal
Estimation and use of uncertainty in pseudo-relevance feedback
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Re-examining the effects of adding relevance information in a relevance feedback environment
Information Processing and Management: an International Journal
Managing Word Mismatch Problems in Information Retrieval: A Topic-Based Query Expansion Approach
Journal of Management Information Systems
Studying Query Expansion Effectiveness
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
A survey of Web clustering engines
ACM Computing Surveys (CSUR)
Finding good feedback documents
Proceedings of the 18th ACM conference on Information and knowledge management
Using Web structure and summarisation techniques for Web content mining
Information Processing and Management: an International Journal
Improving MEDLINE document retrieval using automatic query expansion
ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
On the query reformulation technique for effective MEDLINE document retrieval
Journal of Biomedical Informatics
Ontology-aided vs. keyword-based web searches: a comparative user study
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
A Survey of Automatic Query Expansion in Information Retrieval
ACM Computing Surveys (CSUR)
Using concept lattices for text retrieval and mining
Formal Concept Analysis
Improving retrieval effectiveness by using key terms in top retrieved documents
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Mining a multilingual association dictionary from Wikipedia for cross-language information retrieval
Journal of the American Society for Information Science and Technology
High performance query expansion using adaptive co-training
Information Processing and Management: an International Journal
Semantic Query Expansion using Cluster Based Domain Ontologies
International Journal of Information Retrieval Research
Formal query systems on contexts and a representation of algebraic lattices
Information Sciences: an International Journal
Collaborative pseudo-relevance feedback
Expert Systems with Applications: An International Journal
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In this article we consider methods for automatic query expansion from top retrieved documents (i.e., retrieval feedback) that make use of various functions for scoring expansion terms within Rocchio's classical reweighting scheme. An analytical comparison shows that the retrieval performance of methods based on distinct term-scoring functions is comparable on the whole query set but differs considerably on single queries, consistent with the fact that the ordered sets of expansion terms suggested for each query by the different functions are largely uncorrelated. Motivated by these findings, we argue that the results of multiple functions can be merged, by analogy with ensembling classifiers, and present a simple combination technique based on the rank values of the suggested terms. The combined retrieval feedback method is effective not only with respect to unexpanded queries but also to any individual method, with notable improvements on the system's precision. Furthermore, the combined method is robust with respect to variation of experimental parameters and it is beneficial even when the same information needs are expressed with shorter queries.