Semantic-Driven Information Recommendation System

被引：0
|
作者：
Huang, Zhenhua [1 ]
Fang, Qiang [1 ]
机构：
[1] Tongji Univ, Dept Comp Sci, Shanghai 201804, Peoples R China
来源：
SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS II, PTS 1 AND 2 | 2014年 / 475-476卷
关键词：
Cloud computing; Information recommendation; Semantics; Dynamic migration;
D O I：
10.4028/www.scientific.net/AMM.475-476.1226
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Information recommendation systems is the one of the most effective tools to solve the problem of information overload. In this paper, we design SIRS CA, a semantic-driven information recommendation system under cloud architecture. SIRSCA mainly includes four modules: semantics representation of foundation data and user preference informations; indexing mechanism of massive semantic informations under cloud architecture; recommendation approaches based on semantic computation theory; and technologies of dynamic migration under cloud architecture.
引用
收藏
页码：1226 / 1229
页数：4
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