SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
Inference networks for document retrieval
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in 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
Computation of term associations by a neural network
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Term dependence: truncating the Bahadur Lazarsfeld expansion
Information Processing and Management: an International Journal
Automatic thesaurus construction using Bayesian networks
Information Processing and Management: an International Journal - Special issue: history of information science
Generalized vector spaces model in information retrieval
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
A multilevel approach to intelligent information filtering: model, system, and evaluation
ACM Transactions on Information Systems (TOIS)
Adaptive information agents in distributed textual environments
AGENTS '98 Proceedings of the second international conference on Autonomous agents
The paraphrase search assistant: terminological feedback for iterative information seeking
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Deriving concept hierarchies from text
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
An adaptive algorithm for learning changes in user interests
Proceedings of the eighth international conference on Information and knowledge management
A context vector model for information retrieval
Journal of the American Society for Information Science and Technology
Inferring query models by computing information flow
Proceedings of the eleventh international conference on Information and knowledge management
Capturing term dependencies using a language model based on sentence trees
Proceedings of the eleventh international conference on Information and knowledge management
Building and applying a concept hierarchy representation of a user profile
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Introduction to the special issue on word sense disambiguation: the state of the art
Computational Linguistics - Special issue on word sense disambiguation
A Comparative Evaluation of Term Weighting Methods for Information Filtering
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
Probabilistic information retrieval model for a dependency structured indexing system
Information Processing and Management: an International Journal
Autopoiesis, the immune system, and adaptive information filtering
Natural Computing: an international journal
What Happened to Content-Based Information Filtering?
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
Immune Learning in a Dynamic Information Environment
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
A pattern discovery model for effective text mining
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Discovering relevant features for effective query formulation
IRFC'12 Proceedings of the 5th conference on Multidisciplinary Information Retrieval
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Treating documents as bag of words is the norm in Information Filtering. Syntactic and semantic correlations between terms are ignored, or in other words, term independence is assumed. In this paper we challenge this common assumption. We use Nootropia, a user profiling model that uses a sliding window approach to capture term dependencies in a network and a spreading activation process to take them into account for document evaluation. Experiments performed based on TREC's routing guidelines demonstrate that given an adequate window size the additional information that term dependencies encode, results in improved filtering performance over a traditional bag of words approach.