Web Usage Mining and Text Mining in the Environment of Web Personalization for Ontology Development of Recommender Systems

被引：0

作者：

Bhattacharya, Tanya ^{[1
]}

Jaiswal, Arunima ^{[2
]}

Nagpal, Vaibhav ^{[1
]}

机构：

[1] Amity Univ Uttar Pradesh, Dept Comp Sci, Noida 201301, India

[2] Amity Univ, Noida, India

来源：

2016 5TH INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (TRENDS AND FUTURE DIRECTIONS) (ICRITO) | 2016年

关键词：

Ontology; web usage mining; semantic web; web personalization; mining;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Recommender system is something that every website or app that provides a reliable interface of user must have. It prevents user from wasting time in segregating what he needs and encourages efficient exploring. Various factors helps to acquire the data of user interest and utilize them in building a system which recommends them on the basis of profile of their activities and interest created. Semantic web helps to create protocols for ontology that defines the type and efficiency of the recommender system that we will use. Also various principles help to develop the same.

引用

页码：78 / 84

页数：7

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