Nonmonotonic reasoning, preferential models and cumulative logics
Artificial Intelligence
Where should the person stop and the information search interface start?
Information Processing and Management: an International Journal
About retrieval models and logic
The Computer Journal - Special issue on information retrieval
Helping the user to select a link
Hypermedia
Braque: design of an interface to support user interaction in information retrieval
Information Processing and Management: an International Journal - Special issue on hypertext and information retrieval
Investigating aboutness axioms using information fields
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Measuring retrieval effectiveness based on user preference of documents
Journal of the American Society for Information Science
ACM SIGIR Forum
Information Retrieval
Modern Information Retrieval
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Personalized Search Support for Networked Document Retrieval Using Link Inference
DEXA '96 Proceedings of the 7th International Conference on Database and Expert Systems Applications
An Image Retrieval System Based on the Visualization of System Relevance via Documents
DEXA '97 Proceedings of the 8th International Conference on Database and Expert Systems Applications
An information-theoretic measure for document similarity
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Information Processing and Management: an International Journal
Embedding knowledge exchange and cognitive matchmaking in a dichotomy of markets
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
High value information in engineering organisations
International Journal of Information Management: The Journal for Information Professionals
A pattern discovery model for effective text mining
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
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The incremental searcher satisfaction model for Information Retrieval has been introduced to capture the incremental information value of documents. In this paper, from various cognitive perspectives, searcher requirements are derived in terms of the increment function. Different approaches for the construction of increment functions are identified, such as the individual and the collective approach. Translating the requirements to similarity functions leads to the so-called base similarity features and the monotonicity similarity features. We show that most concrete similarity functions in IR, such as Inclusion, Jaccard's, Dice's, and Cosine coefficient, and some other approaches to similarity functions, possess the base similarity features. The Inclusion coefficient also satisfies the monotonicity features.