Social Recommender Systems An Influence on Public Media

Abstract - Nowadays, recommendation plays an increasingly significant role in our daily lives. Recommender systems cover up a huge variety of applications related to large-scale social networks, such as online social network recommendations for a product, image or friend. This facility in social networks has become very popular due to the easy access of information on the Internet. For example, recommender systems may give suggestion to an online user all the items or products that might be of concern to him or her. Such systems are mainly based on collaborative, content-based and/or hybrid filtering techniques. In this paper, we mainly focus on the standard techniques used for recommendation of items or products in online social networks that help an online user to get influenced and choose those particular products or items. Index Terms - Online Social Network, Recommender system, Collaborative filtering, Content-based filtering, Hybrid filtering