Towards a Framework for Web Page Recommendation System based on Semantic Web Usage Mining: A Case Study

被引：0

作者：

Singh, Satyaveer ^{[1
]}

Aswal, Mahendra Singh ^{[1
]}

机构：

[1] Gurukul Kangri Vishwavidyalaya, Haridwar, India

来源：

PROCEEDINGS ON 2016 2ND INTERNATIONAL CONFERENCE ON NEXT GENERATION COMPUTING TECHNOLOGIES (NGCT) | 2016年

关键词：

Semantic web usage mining; Recommendation system; Information filtering; Ontology;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Web page recommendation system is one kind of the recommendation system based on the user's current web navigation behavior that automatically recommends web pages in which a particular user is most interesting. For effective web page recommendations, it is very crucial and difficult to find the useful and sufficient knowledge from web usage data. This paper discusses taxonomy of recommendation system techniques and some of open challenges and issues in development of recommendation systems. The paper has performed the case studies of some of main web page recommendation frameworks based on semantic web usage mining.

引用

页码：329 / 334

页数：6

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