[1]HUANG Liwei,LI Deyi.A review of information recommendation in social media[J].CAAI Transactions on Intelligent Systems,2012,7(1):1-8.
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A review of information recommendation in social media

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 7 Number of periods: 2012 1 Page number: 1-8 Column: 综述 Public date: 2012-02-25
Title:
A review of information recommendation in social media
Author(s):
HUANG Liwei1;  LI Deyi2
1. Institute of Automatic Commanding, PLA University of Science and Technology, Nanjing 210007, China;
2. Institute of Electronic System Equipment Engineering, Beijing 100141, China
Keywords:
information recommendation;  information overload;  recommendation systems;  social media
CLC:
TP391
DOI:
-
Abstract:
Social media has become tremendously popular in recent years, and much rich information can be derived from it. However, the massive amount results in a serious “information overload” problem. As one of the most effective methods to ease the “information overload” problem, recommender systems play an important role in social media. Social media contains a large amount of usergenerated content. Through the aggregation of all types of new data, metadata, and clear relationships between users and by combining the traditional method of personalized recommendations, a variety of new technologies emerge in recommender systems. This paper summarizes several key research areas in social recommender systems, including recommendations based on social tagging and group recommendations, as well as the recommendations based on trust. It then introduces several temporal aspects that affect social recommender systems, and finally proposes that the research difficulty be tackled while laying out the expectations for future development trends in the information recommendation system in social media. 
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