A Fuzzy-Rough Set based Ontology for Hybrid Recommendation

被引：0

作者：

Huang, Hsun-Hui ^{[1
]}

Yang, Horng-Chang ^{[2
]}

Lu, Eric Hsueh-Chan ^{[3
]}

机构：

[1] Tajen Univ, Dept Informat Applicat & Management, Yanpu Township, Pingtung County, Taiwan

[2] Natl Taitung Univ, Dept Comp Sci & Informat Engn, Taitung, Taiwan

[3] Natl Cheng Kung Univ, Dept Geomat, Tainan 701, Taiwan

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW) | 2015年

关键词：

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：

In the paper, a novel ontology-based recommendation model based on a fuzzy-rough hybrid mechanism is proposed. This model integrates the principles of both content-based and collaborative filtering recommender systems. The proposed model unified user profile/item characteristics profile representations in a concept level space. Hence not only the user preferences and the correlation between items, but also the information of other users with similar preferences can be used for more precise recommendation.

引用

页码：358 / 359

页数：2

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