Search In this Thesis
   Search In this Thesis  
العنوان
A semantics-based framework for recommender systems /
الناشر
Gharsa Ali Mohammed El{u2010}Marash ,
المؤلف
Gharsa Ali Mohammed El{u2010}Marash
تاريخ النشر
2014
عدد الصفحات
136 Leaves :
الفهرس
يوجد فقط 14 صفحة متاحة للعرض العام

from 152

from 152

المستخلص

A novel semantics-based recommendation framework is presented. It aims to enhance the quality of items’ recommendation by exploiting the semantic relations among these items in the specific domain. An ontological user profile is built for each user such that it is based on items’ domain ontology. Different sets of experiments demonstrated superior performance of the proposed semantics-based framework compared to traditional collaborative filtering techniques. Furthermore, a solution for the problem of cold start is presented