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User interest finding relevant information based on recommendations system / (Record no. 79226)

MARC details
000 -LEADER
fixed length control field 03315cam a2200325 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201216s2018 ua d f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.18.07.M.Sc.2018.Ib.U
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Ibrahim Mahmoud Emara
245 10 - TITLE STATEMENT
Title User interest finding relevant information based on recommendations system /
Statement of responsibility, etc. Ibrahim Mahmoud Emara ; Supervised Mahmood Abdelmoneim , Mervat Gheith
246 15 - VARYING FORM OF TITLE
Title proper/short title إستخدام الانظمة المقترحة من اجل العثورعلى المعلومات ذات الصلة
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Ibrahim Mahmoud Emara ,
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent 75 Leaves :
Other physical details charts ;
Dimensions 30cm
500 ## - GENERAL NOTE
General note The change Institute of Statistical Studies and Researches to Faculty Graduate Studies for Statistical Research
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Researches - Department of Information Systems and Technology
520 ## - SUMMARY, ETC.
Summary, etc. In the World, Today Data Scientist Become the Sixth Job of the 21st Century (jobtrends-Data-Scientist, n.d.) The Main Description for That is using Data Mining Techniques and Statistical Modeling to Find Hidden Questions in Large Dataset for Making Good Prediction for The Future to Get A Good Decision. As a Part of Data Scientist Job Working in Recommended Systems Using Its Techniques Like Collaborative Filtering and Content-Based for Making Good Recommendation to Users. Today Digital Information Produce Every Day, News Products, Jobs, Movies, Book So Finding Interesting Things to User May Be Difficult. Recommender System is A Good Tool for That, Here We Will Talk About Most Algorithms Used in Recommender System Like (Collaborative Filtering, Content-Based). Collaborative Filtering is to Finding Users Similar to Each Other or Items Belong on Similarity Users or Items Rating. Content-Based Is Finding Similar User Based on Similar User Profiles, Cold Start Problem Appear When New User Get Login in The System It is Hard to Find Similar Users Because There is no Enough Information at The Beginning of The Recommendation Systems First Run to Make Similarity Between Users. Shilling Attack People Allow Ratings People May Poll A Lot of Positive Ratings for Their Own Items and Negative Ratings for Their Concurrent. (wikipedia-Collaborative_filtering, n.d.) As a Result, This Data Can Be Utilized to Move Forward the Execution of Current Recommender Systems, Since the Current Estimation Concentrated of The Client Can Be Utilized as an Extra Parameter in Conjunction with The User's Profile Data to Decide the Foremost Fitting Substance to Send in a Proposal Message Using Sentiment Analysis. Sentiment Analysis is Automated Operation to Understanding an Opinion About A Specific Matter from Written or Spoken Language. 2.5 Quintillion Bytes of Data Every Day Are Created, Sentiment analysis has Become A Key System for Making Meaning of That Data
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Collaborative Filtering (CF)
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Information based
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Recommendations system
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Mahmood Abdelmoneim ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Mervat Gheith ,
Relator term
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Shimaa
Reviser Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.18.07.M.Sc.2018.Ib.U 01010110082328000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.18.07.M.Sc.2018.Ib.U 01020110082328000 22.09.2023 CD - Rom 82328.CD