Friend Recommendation in Microbogging System

February 2017
Vol-3, Issue-1
Paper ID: 3763
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Information Technology
Keywords
Micro blogging friend recommendation temporal model interest drifts
Abstract
In the current time, people are becoming more communicative through extension of facilities and multiplatform applications, which establish social and collaborative backgrounds. As the popularity of Web 2.0 technologies are increasing, microblogging sites like Twitter is a new form of online communication in which users talk about their daily lives, publish opinions and share information by posts, has become one of the most popular social networking site today. By finding users social behaviors and dynamics, it is easy for user to find friends with similar interests, which may improve the user’s experience, social interactions, and can achieve more business value for corporations. Probabilistic topic models have been proved to be the powerful tools for recognizing latent text patterns in the content. The purpose is to discover the interests of each user rather than the topics of single messages and on the basis of user’s interest, friend is recommened

Author Information

# Name Institute / Affiliation
1 Prof.N.B.Kadu PREC Loni
2 Kakad Snehal G PREC Loni
3 Tambe Harshda S PREC Loni

How to Cite

Use the following formats to cite this article in your research.

APA Style
Prof.N.B.Kadu, G, Kakad Snehal, & S, Tambe Harshda (2017). Friend Recommendation in Microbogging System. International Journal of Advance Research and Innovative Ideas In Education, 3(1), 870-875.
MLA Style
Prof.N.B.Kadu, et al. "Friend Recommendation in Microbogging System." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, 2017, pp. 870-875.
IEEE Style
Prof.N.B.Kadu, Kakad Snehal G, and Tambe Harshda S, "Friend Recommendation in Microbogging System," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 1, pp. 870-875, 2017.
Vancouver Style
Prof.N.B.Kadu, G Kakad Snehal, S Tambe Harshda. Friend Recommendation in Microbogging System. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(1):870-875.
Harvard Style
Prof.N.B.Kadu, G, Kakad Snehal, & S, Tambe Harshda (2017) 'Friend Recommendation in Microbogging System', International Journal of Advance Research and Innovative Ideas In Education, 3(1), pp. 870-875.
Chicago Style
Prof.N.B.Kadu, Kakad Snehal G, and Tambe Harshda S. "Friend Recommendation in Microbogging System." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2017): 870-875.
Turabian Style
Prof.N.B.Kadu, Kakad Snehal G, and Tambe Harshda S. "Friend Recommendation in Microbogging System." International Journal of Advance Research and Innovative Ideas In Education 3, no. 1 (2017): 870-875.

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