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

页码：45 / 46

页数：2

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