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The core technology powering the MindServer Product Suite is based on patented, proprietary machine learning techniques including the Probabilistic Latent Semantic Analysis (PLSA) algorithms developed by Recommind's Chief Scientist, Professor Thomas Hofmann. These techniques represent the latest developments in academic machine learning research and provide the highest quality content analysis on the market. They power the capability of MindServer platform to deliver human level accuracy with the automation of a computer. The MindServer platform automatically identifies the concepts that describe a document, regardless of the language or subject. As a result, MindServer is able to automatically understand that words can have multiple meanings and that there are multiple ways to express the same concept or query.
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No Training of Agents or Manual Intervention is Necessary for MindServer Because MindServer extracts concepts from text on its own, no training or manual intervention is needed to make it useful, resulting in lower deployment and maintenance effort and expense. MindServer can incorporate both implicit and explicit user information to identify communities of users based on interest patterns. As a result, the MindServer core technology can provide automated personalized information retrieval, recommendation of information, and identification of experts. If additional information structures exist, our technology can incorporate and leverage the existing work done within an enterprise. Existing information structures such as taxonomies, metadata, controlled vocabularies, and lexicons can be used to provide additional information for MindServer’s core technology platform. |
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Whitepapers If you are interested in learning more about MindServer technology, please complete our Information Request Form and we will forward you our whitepapers outlining the PLSA technology and the MindServer architecture. |
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