Discovery of Latent Semantic in Social Annotation Based on PLSA
Jiang Cuiqing1,2, Zhang Yu1, Ding Yong1
1. School of Management, Hefei University of Technology, Hefei 230009, China;
2. Ministry of Education key Laboratory of Process Optimization and Intelligent Decision, Hefei 230009,China
In order to solve the problem of fuzzy semantic in social annotation system, this paper analyses the relation among users, resources and tags, introduces latent semantic analysis probabilistic PLSA model. By extending PLSA model,the annotation is mapped to a finite-dimensional latent semantic space, and the collection of latent semantic of annotation is obtained by clustering. This discovery method improves the satisfaction of user’s actual need for resource in social annotation system. Finally, experimental results show the effectiveness of the proposed method.
蒋翠清, 张玉, 丁勇. 基于PLSA的大众标注潜在语义发现[J]. 现代图书情报技术, 2010, 26(10): 28-32.
Jiang Cuiqing, Zhang Yu, Ding Yong. Discovery of Latent Semantic in Social Annotation Based on PLSA. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2010.10.05.
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