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Automatic Facebook Friends Post Tagging (MS Thesis) (Record no. 56166)

MARC details
000 -LEADER
fixed length control field 01912nam a22001337a 4500
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Ms, Fozia
-- 13MSST08
-- Supervisor - Dr. Akhtar Hussain Jalbani
245 ## - TITLE STATEMENT
Title Automatic Facebook Friends Post Tagging (MS Thesis)
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Nawabshah:
Name of publisher QUEST,
Year of publication 2016.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 59P, :
500 ## - GENERAL NOTE
General note ABSTRACT<br/><br/>Social computing permits people to share their phot0% and information via social web<br/>such as Facebook. 'I'witter. Google + etc, People spend a lot of their time on Facebook<br/>daily. Facebook is like their regular activity school or college or university students<br/>as well as office workers,<br/>Now days, people want to share information or any event photos with their family<br/>Metmbers, friends and colleagues but Facebook not allowed them to tag more than 20<br/>peoples in status and not more than 50 people in photo, they tag friends manually it<br/>takes lot of time. So many user facing this problem they can't share at a time photos<br/>or information with all friends or more than 50 friends. In this research study we have<br/>worked on this problem, we have created tagging application with the permission of<br/>Facebook developers. With the help of tagging application we tagged more than 50<br/>friends in status & photo, also using tagging application we have tagged different<br/>Categories of friends like university, city area, close friends categories etc within a<br/>minutes using our proposed tagging APP. It helps to share important information with<br/>friends within minutes and also notifying them that you have been tagged in particular<br/>post. For this purpose, a design methodology is proposed in this research which<br/>ficilitates to tag all friends within a minutes using the Facebook graph API and tagging<br/>categories of friends with notification using Rule-base technique.<br/><br/><br/>xii<br/>
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Department Of Information Technology Engineering
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://tinyurl.com/yhu3hnn6
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Thesis and Dissertation
Holdings
Withdrawn status Lost status Home library Current library Date acquired Accession Number Koha item type
    Research Section Research Section 28/11/2016 MP/13-125 Thesis and Dissertation
    Research Section Research Section 02/10/2018 MP/27-301 Thesis and Dissertation

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