Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
A3: framework for user adaptation using xslt
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Ontalk: ontology-based personal document management system
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Fuzzy Co-clustering of Web Documents
CW '05 Proceedings of the 2005 International Conference on Cyberworlds
Mining Ontology for Automatically Acquiring Web User Information Needs
IEEE Transactions on Knowledge and Data Engineering
Bootstrapping semantics on the web: meaning elicitation from schemas
Proceedings of the 15th international conference on World Wide Web
Open user profiles for adaptive news systems: help or harm?
Proceedings of the 16th international conference on World Wide Web
Demographic prediction based on user's browsing behavior
Proceedings of the 16th international conference on World Wide Web
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Ontology-based user modeling for knowledge management systems
UM'03 Proceedings of the 9th international conference on User modeling
A versatile software tool making best use of sparse data for closed loop process control
Advances in Engineering Software
A method for the acquisition of ontology-based user profiles
Advances in Engineering Software
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With the rapid development of personalized information retrieval, user profile plays an important role. In this paper, we propose a fuzzy clustering method of construction of ontology-based user profiles (FCOU). In the FCOU method, we employ fuzzy clustering techniques combined with optimization techniques to develop ontology-based user profiles. One key feature of FCOU is that it employs an augmented Lagrangian function to create fuzzy clustering model for the construction of user profiles. Another key feature of FCOU is that it employs the combination of FCM, PHR and simulated annealing to develop ontology-based user profiles. The method allows some information to belong to several user profiles simultaneously with different degrees of accuracy.