A semantics-based framework for recommender systems / Gharsa Ali Mohammed El{u2010}Marash ; Supervised Abeer Mohamed ElKorany
Material type:
TextLanguage: English Publication details: Cairo : Gharsa Ali Mohammed El{u2010}Marash , 2014Description: 136 Leaves : charts , facsimiles ; 30cmOther title: - إطار عمل دلالي لنظم التوصية [Added title page title]
- Issued also as CD
| Item type | Current library | Home library | Call number | Copy number | Status | Barcode | |
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Thesis
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.20.03.M.Sc.2014.Gh.S (Browse shelf(Opens below)) | Not for loan | 01010110066368000 | ||
CD - Rom
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.20.03.M.Sc.2014.Gh.S (Browse shelf(Opens below)) | 66368.CD | Not for loan | 01020110066368000 |
Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science
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
Issued also as CD
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