Tutorial on Social Recommender Systems

被引:1
作者
Guy, Ido [1 ]
机构
[1] IBM Res Haifa, IL-31905 Haifa, Israel
来源
WWW'14 COMPANION: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON WORLD WIDE WEB | 2014年
关键词
recommender systems; social media; social networks; social web; social recommender systems; web; 2.0;
D O I
10.1145/2567948.2577269
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In recent years, with the proliferation of the social web, users are exposed to an intensively growing social overload. Social recommender systems aim to address this overload and are becoming integral part of virtually any leading website, playing a key factor in its success. In this tutorial, we will review the broad domain of social recommender systems, the underlying techniques and methodologies; the data in use, recommended entities, and target population; evaluation techniques; applications; and open issues and challenges.
引用
收藏
页码:195 / 195
页数:1
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