Content recommendation method and device and computer equipment

The invention provides a content recommendation method and device and computer equipment. The method includes: acquiring the operation behaviors, to application program categories, of a user and the operation date; determining the preference type of the application program categories; acquiring the...

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1. Verfasser:	LIANG HUIKE
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	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
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creator	LIANG HUIKE
description	The invention provides a content recommendation method and device and computer equipment. The method includes: acquiring the operation behaviors, to application program categories, of a user and the operation date; determining the preference type of the application program categories; acquiring the contribution value, to the application program categories, of the user according to the operation behaviors; calculating the time difference between the current date and the operation date; calculating the preference value, to the application program categories, of the user according to the preference type, the contribution value and the time difference; recommending content for the user according the preference value. The method has the advantages that the preference value, to the application program categories, of the user is calculated according to the preference type, to the application program categories, of the user, related content is recommended to the user according to the preference value, and the related
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The method includes: acquiring the operation behaviors, to application program categories, of a user and the operation date; determining the preference type of the application program categories; acquiring the contribution value, to the application program categories, of the user according to the operation behaviors; calculating the time difference between the current date and the operation date; calculating the preference value, to the application program categories, of the user according to the preference type, the contribution value and the time difference; recommending content for the user according the preference value. 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The method includes: acquiring the operation behaviors, to application program categories, of a user and the operation date; determining the preference type of the application program categories; acquiring the contribution value, to the application program categories, of the user according to the operation behaviors; calculating the time difference between the current date and the operation date; calculating the preference value, to the application program categories, of the user according to the preference type, the contribution value and the time difference; recommending content for the user according the preference value. The method has the advantages that the preference value, to the application program categories, of the user is calculated according to the preference type, to the application program categories, of the user, related content is recommended to the user according to the preference value, and the related</abstract><oa>free_for_read</oa></addata></record>
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language	chi ; eng
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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	Content recommendation method and device and computer equipment
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