Document Type

Article

Publication Date

January 2018

ISSN

0167-739X

Abstract

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 recruitment, 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.

Comments

This accepted manuscript/post-print originally appeared in Future Generation Computer Systems, Volume 78, Issue 1, 2018. The article can also be found online by following this DOI link: https://doi.org/10.1016/j.future.2017.09.015
SJSU users: use the following link to login and access the article via SJSU databases.

Share

COinS