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Master Thesis

Computation of Extended Answers to Relational Database Queries

Abstract : This Master thesis is divided into two main parts: a state of the art and the work achieved during the internship. The bibliographic part highlights several aspects related to database browsing and recommendation systems. Assisting the user with keyword search or cooperative answers has been a recurring issue in the world of databases. Providing users with recommendations is of major importance in electronic commerce. Inspired by both recommendation systems and cooperative answers, the Shaman research team has outlined a new approach to compute similar answers. This approach based on fuzzy associations is at the heart of the Master's degree internship. The main objectives include giving more insight as to why some answers are returned and automatically finding similarity criteria for a given object amongst others, which are further detailed in this report.
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Master Thesis
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Contributor : Co-Responsables Du Mri V. Gouranton Et S. Blazy <>
Submitted on : Friday, November 28, 2014 - 4:57:13 PM
Last modification on : Wednesday, August 23, 2017 - 4:33:00 PM
Long-term archiving on: : Friday, April 14, 2017 - 11:00:18 PM


Distributed under a Creative Commons Attribution 4.0 International License


  • HAL Id : dumas-01088805, version 1



Aurélien Moreau. Computation of Extended Answers to Relational Database Queries. Databases [cs.DB]. 2014. ⟨dumas-01088805⟩



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