文章基本信息

标题：Optimization of Information Retrieval by Advance Indexing Models and FIRS
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作者：Divya Jyoti Shrivastav ; Waseem Ahmad
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2012
卷号：1
期号：3
页码：134-138
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Today Internet is becoming very wide and user want to retrieve the exact information related with the query. Sometimes user query result return by the search engine is not exactly same. For this type of information retrieval problem may be reduced by underlying Indexing Techniques namely Latent Semantic Indexing, Latent Semantic analysis, PLSI, and Latent Dirichlet Allocation Model for provide semantic tools for text and also describe some multimedia retrieval tools to provide accurate precision and remove low recall rate .Here we introduce a new model for linking document called as LTHM and Fuzzy Information Retrieval System(FIRS) for describe the weight based queries. Basically PLSI and LDA are used for the contents of plaintext so for web text LTHM is used to describe the hyper linking of document with web. The prospective area of information retrieval where FIRS is needed is described with justification. FIRS are used to define the accuracy and precision of web documents and queries.
关键词：Latent Semantic Indexing; PLSA; LTHM; FIRS