Recommender Systems for Large-Scale Social Networks: A review of challenges and solutions

Magdalini Eirinaki, Jerry Gao, Iraklis Varlamis, Konstantinos Tserpes
2018 Future generations computer systems  
Social networks have become very important for networking, communications, and content sharing. Social networking applications generate a huge amount of data on a daily basis and social networks constitute a growing field of research, because of the heterogeneity of data and structures formed in them, and their size and dynamics. When this wealth of data is leveraged by recommender systems, the resulting coupling can help address interesting problems related to social engagement, member
more » ... ent, and friend recommendations. In this work we review the various facets of large-scale social recommender systems, summarizing the challenges and interesting problems and discussing some of the solutions.
doi:10.1016/j.future.2017.09.015 fatcat:jdllbp6snfckfj7xfpu4xycfii