Collectively enhanced semantic search
作者： Marc A. Cohen , Alain J. Cohen
DOI:
关键词:
摘要: A search system analyzes a user's requests and identifies prior semantically-similar that have provided well-received results. Each request is classified, based on the semantics of request, satisfaction with effectiveness monitored recorded within determined class (or set classes). As particular session continues, classification also used to identify other searches in class, user option modifying or replacing current one these semantically similar searches. The may be configured most favored results by searches, allow select from among provide incremental updates over time, as new are found.
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