Friend book: A Semantic-based Friend Recommendation System for Social Networks

Authors

  • Ranawade Sanket Department Of Computer Engineering.AISSMS,Pune,Maharashtra,India
  • Khedekar Rutuja Department Of Computer Engineering.AISSMS,Pune,Maharashtra,India
  • Khedekar Tejasvi Department Of Computer Engineering.AISSMS,Pune,Maharashtra,India
  • Urankar Ajinkya Department Of Computer Engineering.AISSMS,Pune,Maharashtra,India

Keywords:

Microblogging, Latent Dirichlet allocation (LDA, CF-Based, Content-Based Hybrid Recommendation Systems

Abstract

Obtainable communal network armed forces advocate associates to user base on top of their community
graph, which might not live the nearly everyone suitable to reproduce a user’s preference lying on companion collection
during authentic life. In this project, we in attendance Friend book, a work of fiction semantic-based companion
suggestion organization for community network, which recommend associates to user base on their existence style in its
place of communal graph. By captivating benefit of sensor-rich smart phones, Friend book discover existence style of
user from user-centric antenna information, events the resemblance of existence style pack in between users, and
recommend associates to user stipulation their existence style contain far above the ground resemblance.

Downloads

Published

2017-05-25

How to Cite

Ranawade Sanket, Khedekar Rutuja, Khedekar Tejasvi, & Urankar Ajinkya. (2017). Friend book: A Semantic-based Friend Recommendation System for Social Networks. International Journal of Advance Research in Engineering, Science & Technology, 4(5), 624–630. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1578

Issue

Vol. 4 No. 5 (2017): Volume: 04, Issue: 05 - May, 2017.

Section

Articles