Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
An outline of a general model for information retrieval systems
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Learning and Revising User Profiles: The Identification ofInteresting Web Sites
Machine Learning - Special issue on multistrategy learning
A multilevel approach to intelligent information filtering: model, system, and evaluation
ACM Transactions on Information Systems (TOIS)
Information retrieval and artificial intelligence
Artificial Intelligence - Special issue on applications of artificial intelligence
Relevance ranking for one to three term queries
Information Processing and Management: an International Journal
Information Retrieval
A Comparative Evaluation of Term Weighting Methods for Information Filtering
DEXA '04 Proceedings of the Database and Expert Systems Applications, 15th International Workshop
On the role of a user's knowledge gap in an information retrieval process
Proceedings of the 3rd international conference on Knowledge capture
Implicit user modeling for personalized search
Proceedings of the 14th ACM international conference on Information and knowledge management
User profiling in personal information agents: a survey
The Knowledge Engineering Review
A review of ontology based query expansion
Information Processing and Management: an International Journal
Ontology-based context synchronization for ad hoc social collaborations
Knowledge-Based Systems
Testing a decision-theoretic approach to the evaluation of information retrieval systems
Journal of Information Science
Advanced Information Retrieval
Electronic Notes in Theoretical Computer Science (ENTCS)
A comparison of general vs personalised affective models for the prediction of topical relevance
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
A Combination Approach to Web User Profiling
ACM Transactions on Knowledge Discovery from Data (TKDD)
Boosting social collaborations based on contextual synchronization: An empirical study
Expert Systems with Applications: An International Journal
A method for user profile adaptation in document retrieval
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
A method of user modeling and relevance simulation in document retrieval systems
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Transactions on computational collective intelligence V
Evolutionary approach for semantic-based query sampling in large-scale information sources
Information Sciences: an International Journal
Conflicts of ontologies – classification and consensus-based methods for resolving
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
A heuristic method for collaborative recommendation using hierarchical user profiles
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
A method for collaborative recommendation in document retrieval systems
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
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Modeling users' preferences and needs is one of the most important personalization tasks in information retrieval domain. In this paper a model for user profile tuning in document retrieval systems is considered. Methods for tuning the user profile based on analysis of user preferences dynamics are experimentally evaluated to check whether with growing history of user activity the created user profile can converge to his preferences. As the statistical analysis of series of simulations has shown, proposed methods of user profile actualization are effective in the sense that the distance between user preferences and his profile becomes smaller and smaller along with time.