The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
A system for automatic personalized tracking of scientific literature on the Web
Proceedings of the fourth ACM conference on Digital libraries
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Proceedings of the 11th international conference on World Wide Web
Personalized web search by mapping user queries to categories
Proceedings of the eleventh international conference on Information and knowledge management
Learning to Create Customized Authority Lists
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
Personalization Techniques for Web Search Results Categorization
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
Using ODP metadata to personalize search
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Category ranking for personalized search
Data & Knowledge Engineering
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Context-similarity based hotlinks assignment: Model, metrics and algorithm
Data & Knowledge Engineering
Dynamic refinement of search engines results utilizing the user intervention
Journal of Systems and Software
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Generic web searching often turns out impersonal and frustrating due to lack of adaptivity to user preferences. These problems can be alleviated in the presence of a solution to assist personalization in an effective manner. Such a tool is presented within the context of this paper that enables personalization on the client's browser and is supported by a Web Service based backend system that implement a number of different personalization approaches as an option. Our aim is to provide a generic platform based on web technologies a) for end-user personalization and b) for assistance in the research & development evaluation of existing or novel personalization techniques. The solution is further underpinned with novel personalization techniques. The latter have emerged as fine-grained and improved alternatives to provably efficient personalization methods previously presented in [10]. The solution altogether has been experimentally evaluated and proved effective.