A Method for Profile Clustering Using Ontology Alignment in Personalized Document Retrieval Systems

被引：6

作者：

Maleszka, Bernadetta ^{[1
]}

机构：

[1] Wroclaw Univ Technol, Dept Informat Syst, PL-50370 Wroclaw, Poland

来源：

COMPUTATIONAL COLLECTIVE INTELLIGENCE (ICCCI 2015), PT I | 2015年 / 9329卷

关键词：

Ontology-based user profile; User preference; Ontology alignment; Personalization;

D O I：

10.1007/978-3-319-24069-5_39

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

User modeling is crucial aspect of personalized document retrieval systems. In this paper we propose to use ontology-based user profile while ontological structures are appropriate to represent dependencies between concepts in user profile. A method for clustering set of users is proposed. As a similarity measure between ontological profiles we present a novel approach using ontology alignment methods. To avoid "cold-start problem" we developed method for profile recommendation for a new user.

引用

页码：410 / 420

页数：11

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