基于业务数据分析的个性化电力信息精准推荐方法设计

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中图分类号：TP391；TM711 文献标志码：A 文章编号：1001-5922（2025）05-0143-04

Abstract：In viewof thelowsuccessrateof the previous personalizedpower customerservice informationrecommendation methods，a personalized powercustomer service information recommendation method based on businessdata analysis was designed.According tothetypeofpower customerinformation，itwas divided intotextdataandscenedata，andthe power customerdata wasobtainedand preprocessedbycalculating thesimilaritybetweenthedata information.Withthesupport of businessdataanalysis，theabove-mentionedobtaineddata was extractedbyfeatures，andthenthevaluablefeaturedata wasscreened out，the characteristic data was fused，the prediction function of power customer demand was calculated by using the fused feature data，and theappropriate power customer service recommendation method wasselected in combinationwith the portraitof powercustomers，soas tocarryoutservicerecommendationthatmets the needsof power customers.In the experimental test，compared with the previousrecommendation methods，theservicerecommendationsuccess rateof the personalized power customer service information recommendation method based on businessdata analysis was as high as 97.8% ：

Keywords：business data analysis；personalized electricity customers；information recommendation；method design互联网的大量普及，使人们习惯从网上获取各种 需要的信息。（剩余5627字）