Parallel free-text search on the connection machine system
Communications of the ACM - Special issue on parallelism
Information retrieval by constrained spreading activation in semantic networks
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
Collective computation in neuronlike circuits
Scientific American
Communications of the ACM
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Knowledge representation, connectionism and conceptual retrieval
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
A computer graphics rendering algorithm for use on a SIMD machine
Proceedings of the 1st International Conference on Supercomputing
Connectionist learning procedures
Artificial Intelligence
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
The Association Factor in Information Retrieval
Journal of the ACM (JACM)
Semantic Road Maps for Literature Searchers
Journal of the ACM (JACM)
Parallel Models of Associative Memory
Parallel Models of Associative Memory
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
On the Use of Spreading Activation Methods in Automatic Information Retrieval
On the Use of Spreading Activation Methods in Automatic Information Retrieval
A spreading activation network model for information retrieval
A spreading activation network model for information retrieval
Adaptive information retrieval: machine learning in associative networks (connectionist, free-text, browsing, feedback)
A computer graphics rendering algorithm for use on a SIMD machine
Proceedings of the 1st International Conference on Supercomputing
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
A comparison of classifiers and document representations for the routing problem
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
An intelligent agent for high-precision text filtering
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
Learning subjective relevance to facilitate information access
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
MessageWorld: a new approach to facilitating asynchronous group communication
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
A Model for Adaptive Information Retrieval
Journal of Intelligent Information Systems
Adaptive information agents in distributed textual environments
AGENTS '98 Proceedings of the second international conference on Autonomous agents
A comparison of regression, neural net, and pattern recognition approaches to IR
Proceedings of the seventh international conference on Information and knowledge management
Context-sensitive vocabulary mapping with a spreading activation network
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
New methods for relevance feedback: improving information retrieval performance
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
Relevance and reinforcement in interactive browsing
Proceedings of the ninth international conference on Information and knowledge management
Neural Network Agents for Learning Semantic Text Classification
Information Retrieval
A test of genetic algorithms in relevance feedback
Information Processing and Management: an International Journal
Architectures for Personalized Multimedia
IEEE MultiMedia
Generating, integrating, and activating thesauri for concept-based document retrieval
IEEE Expert: Intelligent Systems and Their Applications
Long-Term Learning for Web Search Engines
PKDD '02 Proceedings of the 6th European Conference on Principles of Data Mining and Knowledge Discovery
The Feasibility of Machine Learning for Query Answering - An Experiment in Two Domains
AICS '02 Proceedings of the 13th Irish International Conference on Artificial Intelligence and Cognitive Science
Connectionist interaction information retrieval
Information Processing and Management: an International Journal - Modelling vagueness and subjectivity in information access
NLPIR: a theoretical framework for applying natural language processing to information retrieval
Journal of the American Society for Information Science and Technology
Order-based fitness functions for genetic algorithms applied to relevance feedback
Journal of the American Society for Information Science and Technology
Genetic algorithms in relevance feedback: a second test and new contributions
Information Processing and Management: an International Journal
Information Processing and Management: an International Journal
An adaptive information retrieval system based on associative networks
APCCM '04 Proceedings of the first Asian-Pacific conference on Conceptual modelling - Volume 31
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Preface to Special Issue on User Modeling for Web Information Retrieval
User Modeling and User-Adapted Interaction
Improving document representations using relevance feedback: the RFA algorithm
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Regularizing ad hoc retrieval scores
Proceedings of the 14th ACM international conference on Information and knowledge management
Information Processing and Management: an International Journal
GANNET: a machine learning approach to document retrieval
Journal of Management Information Systems - Special section: Information technology and IT organizational impact
Information-behaviour modeling with external cues
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A "Bag" or a "Window" of Words for Information Filtering?
SETN '08 Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications
Local search: A guide for the information retrieval practitioner
Information Processing and Management: an International Journal
Automatic classification of Tamil documents using vector space model and artificial neural network
Expert Systems with Applications: An International Journal
Information Processing and Management: an International Journal
Intelligent search for distributed information sources using heterogeneous neural networks
APWeb'03 Proceedings of the 5th Asia-Pacific web conference on Web technologies and applications
Supporting creativity: towards associative discovery of new insights
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Machine learning of user profiles: representational issues
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Graph-based term weighting for information retrieval
Information Retrieval
Guides for hypertext: an overview
Artificial Intelligence in Medicine
From information networks to bisociative information networks
Bisociative Knowledge Discovery
Node similarities from spreading activation
Bisociative Knowledge Discovery
Adaptive music retrieval---a state of the art
Multimedia Tools and Applications
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AIR represents a connectionist approach to the task of information retrieval. The system uses relevance feedback from its users to change its representation of authors, index terms and documents so that, over time, AIR improves at its task. The result is a representation of the consensual meaning of keywords and documents shared by some group of users. The central focus goal of this paper is to use our experience with AIR to highlight those characteristics of connectionist representations that make them particularly appropriate for IR applications. We argue that this associative representation is a natural generalization of traditional IR techniques, and that connectionist learning techniques are effective in this setting.