Retrieval effectiveness of an ontology-based model for information selection
The VLDB Journal — The International Journal on Very Large Data Bases
Similarity between Euclidean and cosine angle distance for nearest neighbor queries
Proceedings of the 2004 ACM symposium on Applied computing
Improving document representations using relevance feedback: the RFA algorithm
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Context modeling and discovery using vector space bases
Proceedings of the 14th ACM international conference on Information and knowledge management
Implicit user modeling for personalized search
Proceedings of the 14th ACM international conference on Information and knowledge management
A unified interaction scheme for information sources
Journal of Intelligent Information Systems
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
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The Vector Space Model (VSM) is probably the most widely used model for retrieving information from text collections (and recently from over other kinds of corpi). Assuming this model, we study the problem of finding the best query that "names" (or describes) a given (unordered or ordered) set of objects. We formulate several variations of this problem and we provide methods and algorithms for solving them.