The relationship between recall and precision
Journal of the American Society for Information Science
Modern Information Retrieval
Machine Learning
Hierarchical Clustering Algorithms for Document Datasets
Data Mining and Knowledge Discovery
Google's PageRank and Beyond: The Science of Search Engine Rankings
Google's PageRank and Beyond: The Science of Search Engine Rankings
Introduction to Information Retrieval
Introduction to Information Retrieval
A survey of Web clustering engines
ACM Computing Surveys (CSUR)
On the number of terms used in automatic query expansion
Information Retrieval
Words context analysis for improvement of information retrieval
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
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The article presents an algorithm we called Semantic Sieve applied for refining search results in text documents repository. The algorithm calculates so-called conceptual directions that enables interaction with the user and allows to narrow the set of results to the most relevant ones. We present the system where the algorithm has been implemented. The system also offers in the presentation layer clustering of the results into thematic groups. Preliminary evaluation indicates the proposed approach can be useful for precessing search results and serve as effective tool for improving retrieval with keywords.