基于業(yè)務(wù)數(shù)據(jù)分析的個(gè)性化電力信息精準(zhǔn)推薦方法設(shè)計(jì)

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中圖分類號(hào)：TP391；TM711 文獻(xiàn)標(biāo)志碼：A 文章編號(hào)：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互聯(lián)網(wǎng)的大量普及，使人們習(xí)慣從網(wǎng)上獲取各種 需要的信息。（剩余5627字）