User-defined relevance criteria: an exploratory study
Journal of the American Society for Information Science - Special issue: relevance research
Journal of the American Society for Information Science - Special topic issue on the history of documentation and information science: part II
Relevance judgment: What do information users consider beyond topicality?
Journal of the American Society for Information Science and Technology - Research Articles
Relationships between categories of relevance criteria and stage in task completion
Information Processing and Management: an International Journal
Prioritized aggregation operators
International Journal of Approximate Reasoning
Multidimensional Relevance: A New Aggregation Criterion
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
A multiple criteria approach for information retrieval
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
Multidimensional relevance: Prioritized aggregation in a personalized Information Retrieval setting
Information Processing and Management: an International Journal
Prioritized aggregation of multiple context dimensions in mobile IR
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
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In this paper a new model is proposed for aggregating multiple criteria evaluations for relevance assessment based on a refinement of the "min" ("and") operator. The peculiarity of such an operator which also distinguishes it from the traditional "min" aggregation operator is that the extent to which the least satisfied criterion plays a role in determining the overall satisfaction degree depends both on its satisfaction degree and on its importance for the user. If it is not important at all, its satisfaction degree is not considered, while if it is the most important criterion for the user, only its satisfaction degree is considered (like with the traditional "min" operator). The usefulness and effectiveness of such a model are demonstrated by means of a case study on personalized Information Retrieval with multicriteria relevance. Some preliminary experimental results are also reported.