និក្ខេបបទបរិញ្ញាបត្រជាន់ខ្ពស់

TitleThesis M.Tech. in Civil Engineering I
Author(s)Bin Phally*, Sin Sophoan
Status 291 views, 42 downloads Download
Keywords   Internet     user experience  
Abstract

In today’s society, social networks are a popular way to connect with friends and family and share what’s going on in your life. With the Internet connecting us all closer than ever before, it is increasingly common to use social networks to m.eet new friends online that share similar interests instead of only connecting with those you already know. For the problem of attempting to connect people with similar interests, this paper proposes the foundation for a Geo-social network that aims to extract the semantic meaning from users’ location history and use this information to find the similarity between users. Once the similarity scores are obtained, the results are examined to extract the groups of similar users for the Geo-social network. Computing similarity for a large number of users and then grouping based on the results is a computationally intensive task, but fortunately Apache Spark can be leveraged to execute the comparison and clustering of users in parallel across multiple computers, increasing the computation speed when compared to a centralized version and working quickly enough to suggest friends in real time for a given user

Adviser(s)Nun Boom
InstitutionNational Polytechnic Institute of Cambodia
FacultyGraduate School, ,
Published Date[Year]
Pages[Pages]
Rights©2020 All Rights Reserved.
Recommended CitationBin Phally*, Sin Sophoan. Thesis M.Tech. in Civil Engineering I. m.civil. NPIC Scientific Publication, [Year].

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