Coding and information theory (2nd ed.)
Coding and information theory (2nd ed.)
Entropy and information theory
Entropy and information theory
Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
Helping the user to select a link
Hypermedia
Design and evaluation of algorithms for image retrieval by spatial similarity
ACM Transactions on Information Systems (TOIS)
The use of semantic links in hypertext information retrieval
Information Processing and Management: an International Journal
Augmenting a characterization network with semantic information
Information Processing and Management: an International Journal
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Information Retrieval
A General Theory for Evolving Application Models
IEEE Transactions on Knowledge and Data Engineering
Personalized Search Support for Networked Document Retrieval Using Link Inference
DEXA '96 Proceedings of the 7th International Conference on Database and Expert Systems Applications
Towards an agent based retrieval engine: profile information filtering project
IRSG'97 Proceedings of the 19th Annual BCS-IRSG conference on Information Retrieval Research
Information Processing and Management: an International Journal
Static reformulation: a user study of static hypertext for query-based reformulation
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
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Navigating through a hypermedia retrieval system bears the problem of selecting an item from a large number of options available to continue the trajectory. Ranking these options according to some criterion is a method to ease the task of navigation. A number of ranking strategies have already been proposed. This paper presents a formalization of the concept of ranking, and of the aforementioned strategies. Furthermore we propose two strategies allowing a personalized approach to ranking.