Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Probabilistic and genetic algorithms in document retrieval
Communications of the ACM
Automatic text processing
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
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
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
Journal of the American Society for Information Science
Optimizing similarity using multi-query relevance feedback
Journal of the American Society for Information Science
WebMate: a personal agent for browsing and searching
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Exploring the similarity space
ACM SIGIR Forum
Crossover improvement for the genetic algorithm in information retrieval
Information Processing and Management: an International Journal
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
A smart itsy bitsy spider for the web
Journal of the American Society for Information Science - Special topic issue: artificial intelligence techniques for emerging information systems applications
A fuzzy genetic algorithm approach to an adaptive information retrieval agent
Journal of the American Society for Information Science
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
Applying genetic algorithms to query optimization in document retrieval
Information Processing and Management: an International Journal
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Fusion Via a Linear Combination of Scores
Information Retrieval
A test of genetic algorithms in relevance feedback
Information Processing and Management: an International Journal
Learning retrieval expert combinations with genetic algorithms
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
IEEE Transactions on Knowledge and Data Engineering
Journal of the American Society for Information Science and Technology
An integrated two-stage model for intelligent information routing
Decision Support Systems
On linear mixture of expert approaches to information retrieval
Decision Support Systems
Retrieval for decision support resources by structured models
Decision Support Systems
Hybrid models in agent-based environmental decision support
Applied Soft Computing
Improving the ranking quality of medical image retrieval using a genetic feature selection method
Decision Support Systems
An adaptive learning automata-based ranking function discovery algorithm
Journal of Intelligent Information Systems
An adaptive learning to rank algorithm: Learning automata approach
Decision Support Systems
GA on IR: Study the Effectiveness of the Developed Fitness Function on IR
International Journal of Artificial Life Research
ExpertRank: A topic-aware expert finding algorithm for online knowledge communities
Decision Support Systems
A relevance feedback approach for the author name disambiguation problem
Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries
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An Information Retrieval (IR) system consists of document collection, queries issued by users, and the matching/ranking functions used to rank documents in the predicted order of relevance for a given query. A variety of ranking functions have been used in the literature. But studies show that these functions do not perform consistently well across different contexts. In this paper we propose a two-stage integrated framework for discovering and optimizing ranking functions used in IR. The first stage, discovery process, is accomplished by intelligently leveraging the structural and statistical information available in HTML documents by using Genetic Programming techniques to yield novel ranking functions. In the second stage, the optimization process, document retrieval scores of various well-known ranking functions are combined using Genetic Algorithms. The overall discovery and optimization framework is tested on the well-known TREC collection of web documents for both the ad-hoc retrieval task and the routing task. Utilizing our framework we observe a significant increase in retrieval performance compared to some of the well-known stand alone ranking functions.