Friend recommendation system for online social networks: A survey

Autor: V Sree Parvathy, T K Ratheesh
Rok vydání: 2017
Předmět:
Zdroj: 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA).
DOI: 10.1109/iceca.2017.8212834
Popis: The social network users always need personalized information. In the present scenario, people are not willing to spend a lot of time to specify their personal needs. So a system is needed which automatically suggest personalized things to users. The Recommendation system is a system which is used to recommend resources that user may be interested in by mining users' interests and/or preferences. There are different types of recommendation system in social network and each of this system uses different technologies for recommendation. The friend recommendation system is such a system which automatically suggests potential friends to users. This paper does a survey of different friend recommendation systems using different techniques. In this literature a comparative study of the methodology is also done.
Databáze: OpenAIRE