عنوان المقالة:A New Policy to Enhance the Web Recommendation Systems Privacy
مازن سمير الحكيم | Mazin S Al-Hakeem | 6921
نوع النشر
مجلة علمية
المؤلفون بالعربي
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
رابط DOI
10.13140/R
رابط الملف
تحميل (265 مرات التحميل)
رابط خارجي
http://dr-mazin.net/Papers/2008/ANEWPOLICYTOENHANCETHEWEBRECOMMENDATIONSYSTEMSPRIVACY.pdf
الكلمات المفتاحية
Web Recommendation System, User-Profile, User Interests, Privacy, Fixed-Size Sliding Window.
رجوع