Melyara. Mezzi

Work place: LRDSI Laboratory, Saad Dahlab University, Blida 1 /Computer Science Department, Blida, 09100, Algeria



Research Interests: Computer systems and computational processes, Natural Language Processing, Computer Architecture and Organization


Melyara. Mezzi is a PhD candidate in Computer Systems Engineering at Saad Dahlab University (Blida, Algeria) since 2012. She obtained her BS (2009) and MSc (2011) degrees in Software Engineering from Blida University, where she is presently, a Full-Time Researcher in LRDSI Laboratory. Her research interests include Knowledge Management & engineering, Text Mining & Natural Language Processing, and Context Modelling.

Author Articles
Study of Context Modelling Criteria in Information Retrieval

By Melyara. Mezzi Nadjia. Benblidia

DOI:, Pub. Date: 8 Mar. 2017

Whereas the majority of works and research about context-awareness in ubiquitous computing provide context models that make use of context features in a particular application, one of the main challenges these last years has been to come out with prospective standardization of context models. As for Information Retrieval, the lack of consensual Context Models represents the biggest issue. In this paper, we investigate the importance of good context modelling to overcome some of the issues surrounding a search task. Thus, after identifying those issues and listing and categorizing the modelling requirements, the objective of our research is to find correlations between the appreciations of context quality criteria taking into account the user dimension. Likewise, the results of a previous survey about search habits have been used such that many socio-demographic categories were considered and the Kendall's W evaluation performed together with the Friedman test provided very interesting results that encourage the feasibility of building large scale context models.

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