利用社会化标签实现P2P语义推荐  

Semantic Recommender Based on Social-tagging in P2P Networks

作　　者：陈丽霞[1] 窦永香[1] 秦春秀[1] 

机构地区：[1]西安电子科技大学信息管理系,西安710071

出　　处：《图书情报工作》2011年第22期110-113,共4页Library and Information Service

基　　金：国家自然科学基金项目"基于社区的P2P信息资源的语义检索策略与模型研究"(项目编号:71003080)研究成果之一

摘　　要：针对P2P环境下采用关键字匹配实现信息检索的不足,引入社会化标签,建立基于语义的个性化推荐模型。首先利用P2P节点用户输入的标签及其类名构建P2P社区的标签本体,显示出标签之间的等级关系,然后通过用户历史标签集与社区标签本体匹配,推荐与用户历史标签集语义相关的标签或资源,最终实现语义推荐。最后对模型进行实例验证。Because of the defect of retrieving information with keywords matching in P2P system, the social-tagging is introduced and a semantic-based personalized recommendation model is built. First,the hierarchical relationships between tags should be revealed in P2P community tag ontology which is built according to the tag and category input by P2P node users. Then, the tags or sources Semantic related to users＇ history tag sets are recommended through matching users＇ history tag sets with community tag ontology to realize the semantic recommendation. Finally, an example is given to validate the efficiency of the proposed method.

关 键 词：大众标注 P2P 标签本体 语义推荐 

分 类 号：G354[文化科学—情报学]