Context vector generation and
US7251637 Patents
A system and method for generating context vectors for use in storage and retrieval of documents and other information items. Context vectors represent conceptual relationships among information items by quantitative means. A neural network operates on a training corpus of records to develop relationship-based context vectors based on word proximity and co-importance using a technique of “windowed co occurrence’. Relationships among context vectors are deter ministic, so that a context vector set has one logical solution, although it may have a plurality of physical solutions. No human knowled
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