社会化标签系统中基于本体的个性化信息推荐模型探究  

A Model of Personalized Information Recommendation Based on Ontology in Social Tagging System

作　　者：潘淑如 

机构地区：[1]武汉大学信息管理学院

出　　处：《图书馆学研究》2014年第21期77-80,37,共5页Research on Library Science

摘　　要：对典型的Web2.0应用系统——社会化标签系统进行研究以实现个性化信息服务是当前的研究热点之一。但已有的研究大多忽略了社会化标签系统本身的局限性,即标签的多样性和模糊性,因而影响了个性化信息服务的准确度和有效性。文章在概述基于标签的个性化信息推荐研究现状、本体及其与标签结合的基础上,将本体引入社会化标签系统内,构建了基于本体的个性化信息推荐模型,利用本体提供的标签语义信息优化个性化信息推荐的效果。It is an attractive field to study social tagging system, the typical web 2. 0 system, to realize personalized information service. However, currently most of the researches ignore the limitations of social tagging system itself,namely the diversity and semantic fuzziness of tags, and thus affect the accuracy and efficiency of the personalized service. In this paper,the current research on personalized information recommendation based on social tagging system and the combination of social tags with ontology is summarized,and then ontology is introduced into social tagging system so as to build a model of personalized information recommendation based on ontology. And with the semantic information of social tags provided by ontology,this paper aims to improve the effect of information recommendation.

关 键 词：标签本体 信息推荐 个性化 

分 类 号：G250.7[文化科学—图书馆学]