BELHAFIANE, Sabrina WissamRAHMANI, Houria2024-02-202024-02-202021https://theses.univ-temouchent.edu.dz/opac_css/doc_num.php?explnum_id=4090http://dspace.univ-temouchent.edu.dz/handle/123456789/2485The work presented in this memory is in the eld of recommendation systems which have become essential components in most web applications, to guide users to resources that match their preferences and interests in the large masses of available data. Nowadays, the number of servers o ering web services is constantly increasing. It is therefore important to automate the selection and recommendation of these web services. The aim of our work is to create a recommendation application based on collaborative ltering and semantic ltering in order to generate a web services recommendation list that is more relevant and adapted to a target user.Web services, Recommendation system, Collaborative ltering, Semantics, Semantic web services