ISSN 2394-5125
 

Review Article 


Social Network Recommender System Based on Collaborative Filtering Techniques

Pitamber Adhikari, Renuka Sharma.

Abstract
Recommender Systems (RS) are used in different areas for applications like recommending
products to customers. During this paper, this paper proposes a new approach for Recommender systems that
employ the usersí social network to produce better recommendations for media items like YouTube, Amazon,
Netflix, and Pandora. This paper has study personalized item recommendations within an enterprise social media
application suite that features blogs, bookmarks, communities, Wiki, and shared files. Recommendations are
supported by two of the core elements of social media people and tags. Relationship information among people,
tags, and items, is collected and aggregated across different sources within the enterprise. This paper evaluated
our recommended system through an intensive user study. Results show an excellent interest ratio for the tagbased recommended than for the people-based Recommender and even better performance for a
combined Recommender. Tags applied to the user by the people are found to be highly effective in representing
that userís topics of interest.

Key words: Recommender System, Social Network, Collaborative Filtering, Machine Learning.


 
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How to Cite this Article
Pubmed Style

Pitamber Adhikari, Renuka Sharma. Social Network Recommender System Based on Collaborative Filtering Techniques. JCR. 2020; 7(10): 1277-1281. doi:10.31838/jcr.07.10.251


Web Style

Pitamber Adhikari, Renuka Sharma. Social Network Recommender System Based on Collaborative Filtering Techniques. http://www.jcreview.com/?mno=12240 [Access: August 18, 2021]. doi:10.31838/jcr.07.10.251


AMA (American Medical Association) Style

Pitamber Adhikari, Renuka Sharma. Social Network Recommender System Based on Collaborative Filtering Techniques. JCR. 2020; 7(10): 1277-1281. doi:10.31838/jcr.07.10.251



Vancouver/ICMJE Style

Pitamber Adhikari, Renuka Sharma. Social Network Recommender System Based on Collaborative Filtering Techniques. JCR. (2020), [cited August 18, 2021]; 7(10): 1277-1281. doi:10.31838/jcr.07.10.251



Harvard Style

Pitamber Adhikari, Renuka Sharma (2020) Social Network Recommender System Based on Collaborative Filtering Techniques. JCR, 7 (10), 1277-1281. doi:10.31838/jcr.07.10.251



Turabian Style

Pitamber Adhikari, Renuka Sharma. 2020. Social Network Recommender System Based on Collaborative Filtering Techniques. Journal of Critical Reviews, 7 (10), 1277-1281. doi:10.31838/jcr.07.10.251



Chicago Style

Pitamber Adhikari, Renuka Sharma. "Social Network Recommender System Based on Collaborative Filtering Techniques." Journal of Critical Reviews 7 (2020), 1277-1281. doi:10.31838/jcr.07.10.251



MLA (The Modern Language Association) Style

Pitamber Adhikari, Renuka Sharma. "Social Network Recommender System Based on Collaborative Filtering Techniques." Journal of Critical Reviews 7.10 (2020), 1277-1281. Print. doi:10.31838/jcr.07.10.251



APA (American Psychological Association) Style

Pitamber Adhikari, Renuka Sharma (2020) Social Network Recommender System Based on Collaborative Filtering Techniques. Journal of Critical Reviews, 7 (10), 1277-1281. doi:10.31838/jcr.07.10.251