  This study contributes to the literature by considering the difference in
vocabulary used to express document content and information needs. Users are
integrated into all research phases in order to provide them with relevant
information adapted to their context and their preferences meeting their
precise needs. To better express document content and information during this
phase, deep learning models are employed to learn complex representations of
documents and queries. These models can capture hierarchical, sequential, or
attention-based patterns in textual data.
