• Harshul Dhamu
• Lokesh Parashar

With the rapid development of computer science and internet technologies, social media and social network has experienced explosive growth over the last decades. Social websites, such as Flickr, YouTube, and Twitter, have billions of users who share photos, videos and opinions, they also make friends on these websites. On-line friendship is an emerging topic that attracts the attentions from both economists and sociologists. The study of the on-line friendship, on one hand, can help the on-line merchants to find their potential customers, and thus make more precise recommendations; on the other hand, it helps to get a deep understanding of the relationships among different people. However, individuals’ on-line friend making behavior is relatively complex and may be affected by many different factors. For example, an individual might make on-line friends with others because they discuss a hard-mathematical problem, or it is possible that he/she makes a friend because they both enjoy a film. The reasons for friend making behaviors are likely to be diverse In this , with my collaborators, try to give some solutions of on-line social friend recommendation from several aspects. One problem for social friend recommendation is that how shall we find the important social features that would highly influence individuals’ friend making behaviors. Usually, the reason an individual A would make friends with another person B is not that A is satisfied with all the characteristics of B, but that he/she has interest in some factors that B has illustrated. These factors can be viewed as instructive social features for friend recommendation tasks. So, in this thesis paper, we first discuss the important social features for friend recommendation.

Friend Recommendation based on Location Based Multiple Network Co-relation

"Friend Recommendation based on Location Based Multiple Network Co-relation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.705-708, April 2019, Available :http://www.jetir.org/papers/JETIR2009094.pdf

"Friend Recommendation based on Location Based Multiple Network Co-relation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp705-708, April 2019, Available at : http://www.jetir.org/papers/JETIR2009094.pdf