Channel allocation method and system with autonomous learning characteristic

The invention discloses a channel allocation method and system with an autonomous learning characteristic. The method comprises the steps of extracting a keyword of a to-be-processed original text, carrying out the finest-grained segmentation of the keyword, and carrying out the data indexing based on the segmented index keyword, and inputting the data magnitude corresponding to the index result corresponding to the index keyword with the highest weight into the channel number selection model, and outputting the number of channels needing to be allocated. The method for dynamically allocatingthe number of the channels based on the data magnitude has the beneficial effects that excessive channels are not occupied, resource waste can be reduced, the occupied number of system responses is not increased, the retrieval efficiency is improved, and the user experience is improved. 本发明公开了一种具备自主学习特性的通道分配方法及系统，包括：提取待处理的原文本的关键词，对关键词进行最细粒度的切分，基于切分后的索引关键词进行数据索引；将权重最高的索引关键词对应的索引结果对应的数据量级，输入到通道数量选择模型中，输出需要分配的通道个数。本发明有益效果：本发