Pictures of relevance: a geometric analysis of similarity measures
Journal of the American Society for Information Science
Automatic text processing
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
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
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
Combining the evidence of multiple query representations for information retrieval
TREC-2 Proceedings of the second conference on Text retrieval conference
Combining multiple evidence from different properties of weighting schemes
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: history of information science
Analyses of multiple evidence combination
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Optimizing similarity using multi-query relevance feedback
Journal of the American Society for Information Science
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Artificial Intelligence Review
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Finding information on the World Wide Web: the retrieval effectiveness of search engines
Information Processing and Management: an International Journal
A unified environment for fusion of information retrieval approaches
Proceedings of the eighth international conference on Information and knowledge management
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Genetic Algorithms Plus Data Structures Equals Evolution Programs
Genetic Algorithms Plus Data Structures Equals Evolution Programs
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Information Retrieval Today
Communications of the ACM
Fusion Via a Linear Combination of Scores
Information Retrieval
A test of genetic algorithms in relevance feedback
Information Processing and Management: an International Journal
Order-based fitness functions for genetic algorithms applied to relevance feedback
Journal of the American Society for Information Science and Technology
Use of genetic algorithms in information retrieval: adapting matching functions
Use of genetic algorithms in information retrieval: adapting matching functions
Genetic algorithms in relevance feedback: a second test and new contributions
Information Processing and Management: an International Journal
IEEE Transactions on Knowledge and Data Engineering
Journal of the American Society for Information Science and Technology
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A practical approach for efficiently answering top-k relational queries
Decision Support Systems
Learning to Rank for Information Retrieval
Foundations and Trends in Information Retrieval
Applying data fusion methods to passage retrieval in QAS
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
A survey of existing approaches for pattern search and selection
Proceedings of the 15th European Conference on Pattern Languages of Programs
An adaptive learning automata-based ranking function discovery algorithm
Journal of Intelligent Information Systems
Range query estimation with data skewness for top-k retrieval
Decision Support Systems
Quality of health-related online search results
Decision Support Systems
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Knowledge intensive organizations have vast array of information contained in large document repositories. With the advent of E-commerce and corporate intranets/extranets, these repositories are expected to grow at a fast pace. This explosive growth has led to huge, fragmented, and unstructured document collections. Although it has become easier to collect and store information in document collections, it has become increasingly difficult to retrieve relevant information from these large document collections. Information Retrieval systems help users identify relevant documents for their information needs. Matching functions match the information in documents with that required by users in terms of queries to produce a set of documents to be presented to the users. It is well known that a single matching function does not produce the best retrieval results for all contexts (documents and queries). In this paper we combine the results obtained from well known matching functions in the literature. We employ Genetic Algorithms to do such combinations and test our method using a large well known document dataset. It is observed that our method produces better retrieval results for both the consensus search and the routing tasks in information retrieval.