Analysis, Design and Implementation of Post Searching in Social Network

  • Allauddin Bharchond , Ghulam Ali Mallah , Noor Ahmed Shaikh, Samina Rajper
Keywords: Social Network, Searching, Content Searching, Autonomous Post Search

Abstract

Social Networking site is an online web based application to make a relationship among peoples to share social thoughts and interact with online social communities for cultural, personal and educational and entertainment purposes.  It is observed that after adding content on social network sites user wishes to search available material on social network. Uploading content as a post is common social networking activity, user posts some data over the social network, however posted content is present but it is hard to display posts autonomously without displaying huge amount of posts that seems to be related with queried content but not as desired result. The of this paper is to address post searching problem and develop an advanced social search engine that can carry out a particular post from enormous user generated content. Post searching through unique post identification is a good solution to above stated problem it is a fast and secure way to present user queried content. Post searching problem is solved using automatically distinctive generated codes that are being assigned to post at the time of uploading post.  A unique code is produced and stored with post material in database that guaranty the consistency of post codes.  Codes are self-describing and compromised with database consistency.

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Published
2020-02-10
How to Cite
Allauddin Bharchond , Ghulam Ali Mallah , Noor Ahmed Shaikh, Samina Rajper. (2020). Analysis, Design and Implementation of Post Searching in Social Network. International Journal of Computer Science and Emerging Technologies , 3(1). Retrieved from http://ijcet.salu.edu.pk/index.php/IJCET/article/view/39