I3R: a new approach to the design of document retrieval systems
Journal of the American Society for Information Science
Experiments on incorporating syntactic processing of user queries into a document retrieval strategy
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Towards interactive query expansion
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Retrieving documents by plausible inference: an experimental study
Information Processing and Management: an International Journal
Models for retrieval with probabilistic indexing
Information Processing and Management: an International Journal - Modeling data, information and knowledge
Extended Boolean information retrieval
Communications of the ACM
Information Retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Improving Retrieval Performance by Relevance Feedback
Improving Retrieval Performance by Relevance Feedback
Semantic acquisition in TELI: a transportable, user-customized natural language processor
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
An environment for acquiring semantic information
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Automatic Information Organization and Retrieval.
Automatic Information Organization and Retrieval.
Term clustering of syntactic phrases
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
Representation quality in text classification: an introduction and experiment
HLT '90 Proceedings of the workshop on Speech and Natural Language
The use of phrases and structured queries in information retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Addressing the requirements of a dynamic corporate textual information base
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluation of an inference network-based retrieval model
ACM Transactions on Information Systems (TOIS) - Special issue on research and development in information retrieval
An evaluation of phrasal and clustered representations on a text categorization task
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Retrieval activities in a database consisting of heterogeneous collections of structured text
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
An evaluation of query processing strategies using the TIPSTER collection
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
A case-based approach to intelligent information retrieval
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
A deductive data model for query expansion
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
The impact of query structure and query expansion on retrieval performance
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
ExpansionTool: Concept-Based Query Expansion and Construction
Information Retrieval
Subject Knowledge, Source of Terms, and Term Selection in Query Expansion: An Analytical Study
Proceedings of the 24th BCS-IRSG European Colloquium on IR Research: Advances in Information Retrieval
Enhanced web document retrieval using automatic query expansion
Journal of the American Society for Information Science and Technology
Query processing for retrieval from large text bases
HLT '93 Proceedings of the workshop on Human Language Technology
The loquacious user: a document-independent source of terms for query expansion
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Elicitation of term relevance feedback: an investigation of term source and context
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Resource Discovery in a European Spatial Data Infrastructure
IEEE Transactions on Knowledge and Data Engineering
Active Learning with Feedback on Features and Instances
The Journal of Machine Learning Research
Eliciting better information need descriptions from users of information search systems
Information Processing and Management: an International Journal
An interactive algorithm for asking and incorporating feature feedback into support vector machines
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Question-based acquisition of conceptual indices for multimedia design documentation
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Personalized search results with user interest hierarchies learnt from bookmarks
WebKDD'05 Proceedings of the 7th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
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In some recent experimental document retrieval systems, emphasis has been placed on the acquisition of a detailed model of the information need through interaction with the user. It has been argued that these “enhanced” queries, in combination with relevance feedback, will improve retrieval performance. In this paper, we describe a study with the aim of evaluating how easily enhanced queries can be acquired from users and how effectively this additional knowledge can be used in retrieval. The results indicate that significant effectiveness benefits can be obtained through the acquisition of domain concepts related to query concepts, together with their level of importance to the information need.