Improving recommendation systems using semantic technologies / (رقم التسجيلة. 84293)

تفاصيل مارك
000 -LEADER
fixed length control field 03132cam a2200421 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - أخر تعامل مع التسجيلة
control field 20260513123105.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220221s2022 ua a frm 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloguing agency EG-GiCUC
Transcribing agency EG-GiCUC
Language of cataloging eng
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
Language code of summary or abstract eng
-- ara
049 ## - Acquisition Source
Acquisition Source Deposite
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 600
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC)
Classification number 600
Edition number 21
097 ## - Degree
Degree M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Local Call Number Cai01.20.04.M.Sc.2022.Di.I
100 0# - MAIN ENTRY--PERSONAL NAME
Authority record control number or standard number Dina Mohamed Kamal Atito
Preparation preparation.
245 10 - TITLE STATEMENT
Title Improving recommendation systems using semantic technologies /
Statement of responsibility, etc. Dina Mohamed Kamal Atito ; Supervised Hoda Mokhtar Omar Mokhtar , Ayman Ramadan Elkilany.
246 15 - VARYING FORM OF TITLE
Title proper/short title تحسين أنظمة التوصية بإستخدام التكنولوجيا الدلالية
264 #0 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice 2022
300 ## - PHYSICAL DESCRIPTION
Extent 65 pages :
Other physical details illustrations ;
Dimensions 30 cm+
Accompanying material CD
336 ## - CONTENT TYPE
Content type term text
Source rda content
337 ## - MEDIA TYPE
Media type term Unmediated
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Source rdacarrier
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Computers and Artificial intelligence - Department of Information Systems
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography: pages 69-75.
520 #3 - SUMMARY, ETC.
Summary, etc. Recommendation systems are algorithms that aim to predict the users' needs and automatically suggest the most relevant items to the users. Recommender systems are becoming increasingly popular in our daily lives and applied in different domains to facilitate finding relevant and interesting items to the users. In the academic domain, the academic article recommendation systems have gained a lot of interest as an effective tool to suggest relevant articles for researchers according to their interests. An explicit identification of the topics of interest from the contents of academic articles that the researchers have authored, downloaded, or read has been always a challenging task. Accurate articles recommendation relies on the true identification of researchers{u2018} interests which is affected by the quality of the article's textual representation. In this thesis, we aim to improve the results of the academic recommendation system by enhancing the representation of the article and consequently enhancing the quality of the recommendation. In order to improve the representation of the articles, we focus on the semantic approaches to represent the words' semantic meanings rather than their syntactic representation only. In this thesis, two semantic representation models are proposed for articles representation, both models have been applied in the academic articles recommendation process
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Issues CD Issued also as CD
546 ## - LANGUAGE NOTE
Text Language Text in English and abstract in Arabic & English.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element LDA
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Latent Dirichlet Allocation(LDA)
-- Recommendation Systems
-- Word2vec
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Ayman Ramadan Elkilany
Relator term thesis advisor.
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Hoda Mokhtar Omar Mokhtar
Relator term thesis advisor.
900 ## - Thesis Information
Grant date 01-01-2022
Supervisory body Hoda Mokhtar Omar Mokhtar
-- Ayman Ramadan Elkilany
Universities Cairo University
Faculties Faculty of Computers and Artificial intelligence
Department Department of Information Systems
905 ## - Cataloger and Reviser Names
Cataloger Name Nazla
Reviser Names Revisor
905 ## - Cataloger and Reviser Names
Cataloger Name Shimaa
Reviser Names Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
المقتنيات
Source of classification or shelving scheme Home library Current library Date acquired Inventory number Full call number Barcode Date last seen Effective from Koha item type Copy number
Dewey Decimal Classification المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 85462 Cai01.20.04.M.Sc.2022.Di.I 01010110085462000 22.09.2023 22.09.2023 Thesis  
Dewey Decimal Classification المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 13818004 Cai01.20.04.M.Sc.2022.Di.I 01020110085462000 22.09.2023 22.09.2023 CD - Rom 85462.CD
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