Online Event Recommendation for Event-based Social Networks

被引：7
|
作者：
Ji, Xiancai [1 ,3 ]
Xu, Mingze [4 ]
Zhang, Peng [1 ,2 ]
Zhou, Chuan [1 ]
Qiao, Zhi [1 ,3 ]
Guo, Li [1 ]
机构：
[1] Chinese Acad Sci, Inst Informat Engn, Beijing 100190, Peoples R China
[2] Univ Technol Sydney, Quantum Computat & Intelligent Syst, Sydney, NSW 2007, Australia
[3] Univ Chinese Acad Sci, Beijing 100190, Peoples R China
[4] Shandong Univ, Jinan, Shandong, Peoples R China
来源：
WWW'15 COMPANION: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB | 2015年
关键词：
Event Recommendation; Online Learning;
D O I：
10.1145/2740908.2742742
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
With the rapid growth of event-based social networks, the demand of event recommendation becomes increasingly important. While, the existing event recommendation approaches are batch learning fashion. Such approaches are impractical for real-world recommender systems where training data often arrive sequentially. Hence, we present an online event recommendation method. Experimental results on several real-world datasets demonstrate the utility of our method.
引用
收藏
页码：45 / 46
页数：2
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