A multilayer ontology-based hybrid recommendation model

被引：66

作者：

Cantador, Ivan ^{[1
]}

Bellogin, Alejandro ^{[1
]}

Castells, Pablo ^{[1
]}

机构：

[1] Univ Autonoma Madrid, Escuela Politecn Super, E-28049 Madrid, Spain

来源：

AI COMMUNICATIONS | 2008年 / 21卷 / 2-3期

关键词：

Hybrid recommender systems; communities of interest; ontologies; user profiling;

D O I：

10.3233/AIC-2008-0437

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a novel hybrid recommendation model in which user preferences and item features are described in terms of semantic concepts defined in domain ontologies. The concept, item and user spaces are clustered in a coordinated way, and the resulting clusters are used to find similarities among individuals at multiple semantic layers. Such layers correspond to implicit Communities of Interest and enable enhanced recommendations.

引用

页码：203 / 210

页数：8

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