A Life Style Based Friend Recommendation System
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 2
Abstract
The friend recommendation system in social sites will recommend friends based on geographical locations or number of mutual friends or pages they liked in common. This may not suits the user’s preference or the user recommended to another user may hate each other in real life. This system is a friend recommendation system where the users will be recommended to the other user based on their lifestyles. The lifestyle of a user will be derived using user’s activities using Latent Dirichlet Allocation method. The lifestyle of the each user will be compared with the other user to find the similarities. This will return the user with high similarity values. The user value ranking will be given to each user by the other user who are recommended. The average of the rank will be calculated for each user and the value rank will be used in recommending the friends to a user. This system can be implemented in Android smartphones for implementation and the system can be used in social sites to improve the friend recommendation system.
Authors and Affiliations
K. Kavin , M. Ponvimal, L. Nithya, B. Vishnu Priya, Mr. P. Boopathi Rajan
Keywords
Related Articles
- EP ID EP23175
- DOI http://doi.org/10.22214/ijraset.2017.2087
- Views 267
- Downloads 6
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