A price analysis method and system based on a multi-element attribute template and a medium

Abstract

A price analysis method and system based on a multi-attribute template, comprising: constructing a multi-attribute template, generating attribute weights and coding rules through association rule mining, and fusing commodity descriptions and business fields into attribute vectors; calculating similarity based on weighted Euclidean distance, normalizing attention weight through Softmax, and weighting and summing historical prices to obtain reference price; calculating deviation rate and comparing with threshold value to perform hierarchical disposal; constructing a knowledge graph to detect associated abnormalities and price avoidance paths; and implementing batch backtracking based on a version-identified feature cache table. The present application realizes fine-grained price analysis and hidden abnormality mining, and supports dynamic template updating, coding rule adaptive calibration and multi-level rollback mechanisms, significantly improving system robustness and cold start capability.

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