An adaptive algorithm for learning changes in user interests
Proceedings of the eighth international conference on Information and knowledge management
A reinforcement learning agent for personalized information filtering
Proceedings of the 5th international conference on Intelligent user interfaces
Using bayesian priors to combine classifiers for adaptive filtering
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in 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
An analysis of the relative hardness of Reuters-21578 subsets: Research Articles
Journal of the American Society for Information Science and Technology
Robustness of adaptive filtering methods in a cross-benchmark evaluation
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
An innovative approach to intelligent information filtering
Proceedings of the 2006 ACM symposium on Applied computing
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
Online selection of parameters in the rocchio algorithm for identifying interesting news articles
Proceedings of the 10th ACM workshop on Web information and data management
Autopoiesis, the immune system, and adaptive information filtering
Natural Computing: an international journal
Multimodal dynamic optimization: from evolutionary algorithms to artificial immune systems
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
An immune network for contextual text data clustering
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
An immunological filter for spam
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
Interest Aware Recommendations Based on Adaptive User Profiling
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
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In Adaptive Information Filtering, the user profile has to be able to define and maintain an accurate representation of the user's interests over time. According to Autopoietic Theory, the immune system faces a similar continuous learning problem. It is an organisationally closed network that reacts autonomously to define and preserve the organism's identity. Nootropia is a user profiling model, which has been inspired by this view of the immune system. In this paper, we introduce new improvements to the model and propose a methodology for testing the ability of a user profile to continuously learn a user's changing interests in a dynamic information environment. Comparative experiments show that Nootropia outperforms a popular learning algorithm, especially when more than one topic of interest has to be represented.