An evaluation of retrieval effectiveness for a full-text document-retrieval system
Communications of the ACM
UMFE: a user modelling front-end subsystem
International Journal of Man-Machine Studies
CANSEARCH: An expert systems approach to document retrieval
Information Processing and Management: an International Journal - Expert systems and library information science
Information retrieval by constrained spreading activation in semantic networks
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
A prototype of an intelligent system for information retrieval: IOTA
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
I3R: a new approach to the design of document retrieval systems
Journal of the American Society for Information Science
Collective computation in neuronlike circuits
Scientific American
Communications of the ACM
Optimal determination of user-oriented clusters: an application for the reproductive plan
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Probabilistic and genetic algorithms in document retrieval
Communications of the ACM
Automatic text processing
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
A neural network for probabilistic information retrieval
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
User misconceptions of information retrieval systems
International Journal of Man-Machine Studies
Classifier systems and genetic algorithms
Machine learning: paradigms and methods
Connectionist ideas and algorithms
Communications of the ACM
Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
A general framework for parallel distributed processing
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
A connectionist and symbolic hybrid for improving legal research
International Journal of Man-Machine Studies - AI and legal reasoning. Part 2
Cognitive process as a basis for intelligent retrieval systems design
Information Processing and Management: an International Journal
A neural algorithm for document clustering
Information Processing and Management: an International Journal - Special issue on parallel processing and information retrieval
Using the cosine measure in a neural network for document retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
On the allocation of documents in multiprocessor information retrieval systems
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
A self-organizing semantic map for information retrieval
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Incorporating the vector space model in a neural network used for document retrieval
Library Hi Tech - A special issue on artificial intelligence, knowledge systems, and the future library
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Automatic concept classification of text from electronic meetings
Communications of the ACM
Journal of the American Society for Information Science
On Relevance, Probabilistic Indexing and Information Retrieval
Journal of the ACM (JACM)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Information Retrieval
Artificial Intelligence: Where Has it Been, and Where is it Going?
IEEE Transactions on Knowledge and Data Engineering
Generating, integrating, and activating thesauri for concept-based document retrieval
IEEE Expert: Intelligent Systems and Their Applications
Machine Learning
Towards the Genetic Synthesisof Neural Networks
Proceedings of the 3rd International Conference on Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
Mundane reasoning by parallel constraint satisfaction
Mundane reasoning by parallel constraint satisfaction
Genetic Programming-Based Discovery of Ranking Functions for Effective Web Search
Journal of Management Information Systems
A Web page classification system based on a genetic algorithm using tagged-terms as features
Expert Systems with Applications: An International Journal
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Information retrieval using probabilistic techniques has attracted significant attention on the part of researchers in information and computer science over the past few decades. In the 1980s, knowledge-based techniques also have made an impressive contribution to "intelligent" information retrieval and indexing. More recently, information science researchers have turned to other, newer artificial intelligence-based inductive learning techniques including neural networks, symbolic learning, and genetic algorithms. The newer techniques have provided great opportunities for researchers to experiment with diverse paradigms for effective information processing and retrieval.In this article we first provide an overview of newer techniques and their usage in information science research. We then present in detail the algorithms we adopted for a hybrid Genetic Algorithms and Neural Nets based system, called GANNET. GANNET performed concept (keyword) optimization for user-selected documents during information retrieval using the genetic algorithms. It then used the optimized concepts to perform concept exploration in a large network of related concepts through the Hopfield net parallel relaxation procedure. Based on a test collection of about 3,000 articles from DIALOG and an automatically created thesaurus, and using Jaccard's score as a performance measure, our experiment showed that GANNET improved the Jaccard's scores by about 50 percent and it helped identify the underlying concepts (keywords) that best describe the user-selected documents.