Probabilistic Information Retrieval Method Based on Differential Latent Semantic Index Space

摘要

To improve the unstable performance of the tra- ditional keyword-based search engine due to ambiguities of a nat- ural language such as synonymy and /or polysemy, we have de- veloped a new advanced DLSI (differential latent semantic index) space based probabilistic information retrieval system. The new method exploits a most likelihood posteriori function providing a measure of reliability in retrieving a document in the database having a closest match with another document of a query.