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this article introduces in detail the process of optimizing the recall model of the artificial intelligence big model, which is mainly divided into two steps. step 1. data collection and preprocessing data collection are the basis of the artificial intelligence big model. it is necessary to collect user behavior data and item attribute data, as well as the relationship between users and items. preprocessing includes data cleaning, data normalization, data participle, data annotation, and construction of training sets, verification sets, test sets, etc. data cleaning aims to improve data quality, data normalization eliminates the impact of the data's dimensions and scales, and data segmentation...	he is actually an economist! -lithuania welcomes a new president	server information protocol type	when this brand, most people first think of its excellent performance. with the continuous development of the mobile phone market, consumers not only pay attention to performance when choosing a mobile phone, but also have an important consideration.	index	guangdong institute of petrochemical engineering admissions information network
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