A distributed text approximation nearest neighbor semantic search algorithm
An approximate nearest neighbor and semantic search technology, applied in computing, semantic analysis, natural language data processing, etc., can solve problems such as difficult to recommend scientific and technological achievements, unsatisfactory retrieval results, and poor user experience, so as to optimize search speed and reduce Small problems, effect of improving accuracy
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[0049] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0050] The present invention proposes a distributed text approximate nearest neighbor semantic search calculation method, which includes four steps, constructing a text semantic vector based on a deep learning model; constructing a multi-layer clustering index of a text semantic vector, by The division of hyperplane space can quickly obtain similar texts; the distributed and balanced storage of text semantic vectors can distribute and evenly store semantically similar text vectors to different nodes, reducing data skew and speeding up the calculation of similarity; multi-dimensional user preference screening Text semantic search, efficient screening of multi-dimensional preferences for large-scale texts and precise real-time semantic search, returns text results that are most similar to the semantics of user needs.
[0051] combine figure 1 , the present inv...
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