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| 003 | EG-GiCUC | ||
| 005 | 20250223031305.0 | ||
| 008 | 150906s2014 ua dh f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
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| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.20.03.M.Sc.2014.Gh.S | ||
| 100 | 0 | _aGharsa Ali Mohammed El{u2010}Marash | |
| 245 | 1 | 2 |
_aA semantics-based framework for recommender systems / _cGharsa Ali Mohammed El{u2010}Marash ; Supervised Abeer Mohamed ElKorany |
| 246 | 1 | 5 | _aإطار عمل دلالي لنظم التوصية |
| 260 |
_aCairo : _bGharsa Ali Mohammed El{u2010}Marash , _c2014 |
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| 300 |
_a136 Leaves : _bcharts , facsimiles ; _c30cm |
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| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science | ||
| 520 | _aA 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 | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aOntological User Profile | |
| 653 | 4 | _aRecommender Systems | |
| 653 | 4 | _aSemantics | |
| 700 | 0 |
_aAbeer Mohamed ElKorany , _eSupervisor |
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| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aEnas _eCataloger |
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| 905 |
_aNazla _eRevisor |
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| 942 |
_2ddc _cTH |
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_c52246 _d52246 |
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