Rachid Ahmed-Ouamer

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Nowadays, resources on the web increase considerably. In this immense data warehouse, current information retrieval systems do not allow users to obtain results to their requests that meet exactly their needs. Mainly this is due to indexing techniques used (key words, thesaurus). In order to improve the relevance of information retrieval, we propose in this(More)
Most traditional information retrieval systems are based on single terms indexing. However, it is admitted that semantic content of a document (or a query) cannot be accurately captured by a simple set of independent keywords. Although, several works have incorporated phrases or other syntactic information in IR, such attempts have shown slight benefit, at(More)
To meet user needs of information and the personalization of the information the use of the user profile has been adopted. This generates the problem of evolution of this profile over time. In this paper is proposed a model of evolution of the user profile based on the temporal Bayesian networks. This model is the result of a repetition over time on a(More)
Nowadays, resources on the web increase considerably. In this immense data warehouse, current information retrieval systems do not allow users to obtain results to their requests that meet exactly their needs. Mainly this is due to indexing techniques used (key words, thesaurus). In order to improve the relevance of information retrieval, we propose in this(More)
In the web personalization how to represent user profile is one of the key issues. The user profile refers to his/her interests which change over time. This paper, presents a personalized search approach for representation and evolution of the user profile, based on dynamic bayesian network. The theoretical framework provided by these networks allows to(More)
In this paper we present a new technique for query expansion. This technique considers the query as a set of compound terms and a set of simple terms. To determine the expansion terms we add the weight of a term relationships with each of the candidate query terms (simple, compound). A candidate term is selected if it is strongly related with most query(More)
Most existing Information Retrieval model including probabilistic and vector space models are based on the term independence hypothesis. To go beyond this assumption and thereby capture the semantics of document and query more accurately, several works have incorporated phrases or other syntactic information in IR, such attempts have shown slight benefit,(More)
Several features have been used to estimate the priori probability of a document such as: the document length, the link structure, the time factor. But, these features depend only on the document. However, in the context of web, a web page is part of website. The idea that we explore in this article is to use website features which contains the concerned(More)
Most traditional information retrieval systems are based on simple terms indexing. However, they deliver massive results in response to users queries. This is partly due to the fact that semantic content of a document (or a request) can not be accurately captured by a simple set of independent keywords. Two directions are investigated to incorporate(More)
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