Information recommendation method and apparatus, and server
The invention relates to an information recommendation method and apparatus, and a server. The method comprises the steps of obtaining a consumption frequency of performing consumption in each store of a specific region by each historical user; according to the consumption frequency and a preset pop...
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Format | Patent |
Language | Chinese English |
Published |
21.11.2017
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Online Access | Get full text |
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Abstract | The invention relates to an information recommendation method and apparatus, and a server. The method comprises the steps of obtaining a consumption frequency of performing consumption in each store of a specific region by each historical user; according to the consumption frequency and a preset popularity initial value of each store or a preset quality score initial value of each historical user, determining the popularity of each store in the specific region and a quality score of each historical user by utilizing a preset iteration model, wherein the preset iteration model is an iteration model which enables the popularity of each store to form a positive correlation relationship with the quality score of each historical user and the consumption frequency of the each historical user in the each store, and enables the quality score of each historical user to form a positive correlation relationship with the popularity of the each store and the consumption frequency of the each historical user in the each st |
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AbstractList | The invention relates to an information recommendation method and apparatus, and a server. The method comprises the steps of obtaining a consumption frequency of performing consumption in each store of a specific region by each historical user; according to the consumption frequency and a preset popularity initial value of each store or a preset quality score initial value of each historical user, determining the popularity of each store in the specific region and a quality score of each historical user by utilizing a preset iteration model, wherein the preset iteration model is an iteration model which enables the popularity of each store to form a positive correlation relationship with the quality score of each historical user and the consumption frequency of the each historical user in the each store, and enables the quality score of each historical user to form a positive correlation relationship with the popularity of the each store and the consumption frequency of the each historical user in the each st |
Author | SHEN WEI YANG YIPIN MAO RENXIN |
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Discipline | Medicine Chemistry Sciences Physics |
DocumentTitleAlternate | 信息推荐方法、装置及服务器 |
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RelatedCompanies | ALIBABA GROUP HOLDING LIMITED |
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Snippet | The invention relates to an information recommendation method and apparatus, and a server. The method comprises the steps of obtaining a consumption frequency... |
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SubjectTerms | 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 | Information recommendation method and apparatus, and server |
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