Prof. Dr. Alaa Al-Hamami, Prof. Dr. Hilal Hadi Saleh, Dr. Mazin S. Al-Hakeem
الملخص العربي
The variety web recommendation systems uses several methods to observe the behavior of web users and collect comprehensive information about them, then automatically recommend the interest hyperlinks for each individual or group of web users, in order to help users locate information and services on the large website(s). The processes of active user’s behavior observation and understand the active users are concern the web users privacy, many web users dislike giving any personal information. Therefore the privacy adds a whole new dimension to web personalization. In this paper, a policy has been proposed to identify the interest of active user, in order to recommend the interest hyperlinks, will not capture any information to enhance the privacy of the recommendation system. This policy will ensure that website(s) truly comply with their published privacy practices
تاريخ النشر
28/04/2008
الناشر
IADIS International Conference IADIS Applied Computing
مازن سمير الحكيم | Mazin S Al-Hakeem | 21004