Urban waterlogging-prone point information recommendation method based on government affair user portraits

The invention discloses a city waterlogging-prone point information recommendation method based on government affair user portraits, and the method comprises the steps: constructing a government affair user feature tag and interest tag system, and extracting government affair user basic feature tags...

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Hauptverfasser: GUO WANXI, GUO LIANG, WU FANSONG, MENG ZHAOHUI, ZHANG BAO
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creator GUO WANXI
GUO LIANG
WU FANSONG
MENG ZHAOHUI
ZHANG BAO
description The invention discloses a city waterlogging-prone point information recommendation method based on government affair user portraits, and the method comprises the steps: constructing a government affair user feature tag and interest tag system, and extracting government affair user basic feature tags based on government affair user basic information; basic feature vectors of the government affair users and long-term interest vectors and short-term interest vectors of the government affair users on the urban waterlogging-prone point information are calculated, and weighted fusion is carried out on the long-term interest vectors and the short-term interest vectors of the government affair users to obtain interest vectors of the government affair users on the urban waterlogging-prone point information; connecting an urban waterlogging-prone point information database, and constructing a data item feature vector; and calculating the similarity between the user interest and the data feature by using the interest ve
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subjects CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
title Urban waterlogging-prone point information recommendation method based on government affair user portraits
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