Nowadays, Internet users are actually bombarded with huge amounts of data, which makes it impossible at times to reach what they exactly look for and what they need. That is astounding, so it's no wonder that we're now dealing with the issue of information overload. Personalization and recommender systems are now available to help users enhance their experience in trying to search and process relevant information easily and quickly. Web personalization techniques and services are very promising when it comes to alleviating the problem of information overload. We aim to propose, in this paper, an ontology based approach to provide personalized search results for handicraft woman in which we extract knowledge about her such as personal information, preferences and interests then we represent the user profile model. Added to that, we enrich our contribution by exposing some implementation figures that present the applicability of our approach.
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