SOLAR: Social Link Advanced Recommendation System

被引：27

作者：

Garcia-Crespo, Angel ^{[1
]}

Colomo-Palacios, Ricardo ^{[1
]}

Miguel Gomez-Berbis, Juan ^{[1
]}

Garcia-Sanchez, Francisco ^{[2
]}

机构：

[1] Univ Carlos III Madrid, Escuela Politecn Super, Madrid 28911, Spain

[2] Univ Murcia, Fac Informat, Dept Informat & Sistemas, E-30071 Murcia, Spain

来源：

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2010年 / 26卷 / 03期

关键词：

Hyperlinks; Semantic links; Semantic Web; Affect Grid; Social Web; SEMANTIC LINKS; HYPERMEDIA; DISCOVERY; MODEL;

D O I：

10.1016/j.future.2009.07.008

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In today's information society, precise descriptions of the massive volume of online content available are crucial for responding to user needs adequately and efficiently. The Semantic Web Paradigm has recently advanced across many domains for the assignment of metadata to Internet content, in order to define it with explicit, machine-readable meaning. This content has become so extensive that it must be refined according to user preferences to avoid information overload. The current paper proposes a framework for the association of semantic data to webpage links based on a specific domain ontology, additionally permitting the user to express his opinion regarding his emotions about the content of the link. This data is further exploited to suggest additional links to the user, based on the semantic metadata and the level of user satisfaction with previously viewed content. A comprehensive evaluation of the tool has demonstrated a high level of user satisfaction with the features of the system. (C) 2009 Elsevier B.V. All rights reserved.

引用

页码：374 / 380

页数：7

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