The vocabulary problem in human-system communication
Communications of the ACM
Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
The roots of backpropagation: from ordered derivatives to neural networks and political forecasting
The roots of backpropagation: from ordered derivatives to neural networks and political forecasting
A softbot-based interface to the Internet
Communications of the ACM
Application of principal component analysis to the design of neural networks
Neural, Parallel & Scientific Computations
Improving text retrieval for the routing problem using latent semantic indexing
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
A network approach to probabilistic information retrieval
ACM Transactions on Information Systems (TOIS)
Fab: content-based, collaborative recommendation
Communications of the ACM
Experience in industrial plant model development using large-scale artificial neural networks
Information Sciences: an International Journal - Special issue on advanced neuro-fuzzy techniques and their applications
Categorizing Web pages on the subject of neural networks
Journal of Network and Computer Applications
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Hierarchical neural networks for text categorization (poster abstract)
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the ninth international conference on Information and knowledge management
Dimensionality reduction and similarity computation by inner product approximations
Proceedings of the ninth international conference on Information and knowledge management
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Information Processing and Management: an International Journal
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Neural Network Agents for Learning Semantic Text Classification
Information Retrieval
Hierarchical Text Categorization Using Neural Networks
Information Retrieval
Information Filtering: Overview of Issues, Research and Systems
User Modeling and User-Adapted Interaction
Computing in Science and Engineering
Intelligent Agents on the Internet: Fact, Fiction, and Forecast
IEEE Expert: Intelligent Systems and Their Applications
Support vector machines: relevance feedback and information retrieval
Information Processing and Management: an International Journal
Feature Reduction for Neural Network Based Text Categorization
DASFAA '99 Proceedings of the Sixth International Conference on Database Systems for Advanced Applications
Combining Multiclass Maximum Entropy Text Classifiers with Neural Network Voting
PorTAL '02 Proceedings of the Third International Conference on Advances in Natural Language Processing
Supporting user-subjective categorization with self-organizing maps and learning vector quantization
Journal of the American Society for Information Science and Technology
Lessons in neural network training: overfitting may be harder than expected
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Web mining in soft computing framework: relevance, state of the art and future directions
IEEE Transactions on Neural Networks
A method for filtering large conceptual schemas
ER'10 Proceedings of the 29th international conference on Conceptual modeling
Understanding constraint expressions in large conceptual schemas by automatic filtering
ER'12 Proceedings of the 31st international conference on Conceptual Modeling
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Information filtering (IF) systems usually filter data items by correlating a set of terms representing the user's interest (a user profile) with similar sets of terms representing the data items. Many techniques can be employed for constructing user profiles automatically, but they usually yield large sets of term. Various dimensionality-reduction techniques can be applied in order to reduce the number of terms in a user profile. We describe a new terms selection technique including a dimensionality-reduction mechanism which is based on the analysis of a trained artificial neural network (ANN) model. Its novel feature is the identification of an optimal set of terms that can classify correctly data items that are relevant to a user. The proposed technique was compared with the classical Rocchio algorithm. We found that when using all the distinct terms in the training set to train an ANN, the Rocchio algorithm outperforms the ANN based filtering system, but after applying the new dimensionality-reduction technique, leaving only an optimal set of terms, the improved ANN technique outperformed both the original ANN and the Rocchio algorithm.