Optimization of Information Retrieval by Advance Indexing Models and FIRS

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, the authors introduce a new model for linking document called as LTHM and Fuzzy Information Retrieval System(FIRS) for describe the weight based queries.