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Paper Details
Paper Title
A Friend Suggestion System for Social Networks
Authors
Pranoti Phepale, Prof C.V Longani
Abstract
A Friend Suggestion System for Social Networks uses the lifestyle of user to suggest friends. Many social networking sites recommend friends, items, books. For e.g. Facebook suggest the friends based on social relationship those who share common friends. Proposed system uses the lifestyle of user to recommend friend instead of social graph. The lifestyle of user can be determined from the user’s daily activities that he performs every day. Based on the similarity of lifestyle between the users the friend matching graph is drawn. The friend matching graph is generated in tabular form. System analyze friend matching graph to find out which users are more similar .Based on that users are recommended. System also allows user to give feedback about recommended friends.
Keywords- Friend recommendation, Social network, Text mining.
Publication Details
Unique Identification Number - IJEDR1603037Page Number(s) - 221-226Pubished in - Volume 4 | Issue 3 | July 2016DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Pranoti Phepale, Prof C.V Longani, "A Friend Suggestion System for Social Networks", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.221-226, July 2016, Available at :http://www.ijedr.org/papers/IJEDR1603037.pdf
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