Data-Driven Recommender Systems - TEL - Thèses en ligne
Accreditation To Supervise Research Year : 2015

Data-Driven Recommender Systems

Abstract

This document is about some scalable and reliable methods for recommender systems from a machine learner point of view. In particular it adresses some difficulties from the non stationary case.
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Dates and versions

tel-01374729 , version 1 (01-10-2016)

Identifiers

  • HAL Id : tel-01374729 , version 1

Cite

Jérémie Mary. Data-Driven Recommender Systems. Artificial Intelligence [cs.AI]. Université de Lille 3, 2015. ⟨tel-01374729⟩
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