A New Method for Document Retrieval System Using Kuhn Munkres Algorithm with User Preferences

Abstract

The information retrieval system needs human intervention while building a database, query structure and evaluation of the system. The information retrieval system based on the user preferences is useful for searching a most relevant document for the user queries. The user preferences are essential to find out the relevance or usefulness of documents. User judgments on documents may be formally described by a Delphi technique using multi-rater agreement. The proposed method defines a new approach based on minimizing the semantic gap between user and system ranking. One of the main difficult tasks of the document retrieval system is to rank the most relevant documents according to the user preferences.

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Cite this paper

@inproceedings{Kaur2014ANM, title={A New Method for Document Retrieval System Using Kuhn Munkres Algorithm with User Preferences}, author={Sandeep Kaur and Rupinder Kaur Gurm}, year={2014} }