Amigos.com: An Attitude based Friend Recommendation System on Social Network
Abstract: Developing a recommendation system for social network which is to discover life styles of users, measures the similarity of life styles between users. If their life styles have high similarity it recommends friends to users. User�s daily life is modelled as life documents, from which users life styles are extracted. A linear feedback mechanism is integrated that exploits the user�s feedback to improve recommendation accuracy and also providing a web search facility.
Keywords: Social network, Daily Activity, Lifestyles, Friends recommendation.
How to Cite:
[1] Alsaliha S, Anjali Unnikrishnan, Kripa Mariam John, Pavithra P, Vineetha B T, Ms. Deepa K Daniel, Ms. Jooby E, “Amigos.com: An Attitude based Friend Recommendation System on Social Network,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5297