Recommender system based on semantic similarity and collaborative filtering

被引：0

作者：

Liu Pingfeng ^{[1
]}

Nie Guihua ^{[1
]}

Chen Donglin ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Econ, Wuhan 430070, Peoples R China

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON INNOVATION & MANAGEMENT, VOLS 1 AND 2 | 2006年

关键词：

semantic similarity; recommender system; user profile; collaborative filtering;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

To enable semantics based on recommender systems, products and user profiles need to be represented in knowledge uniformly where ontology can be exploited. User profile modeling approach is proposed in this paper. The method of implicit rating and weight evaluation of product attributes is explored. A hybrid approach combining semantic similarity with collaborative filtering is proposed to generate the recommendation lists for users.

引用

页码：1112 / 1117

页数：6

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