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Power retail package recommendation method and system based on collaborative filtering optimization

A collaborative filtering and recommendation system technology, applied in the information field, can solve the problem of long purchase cycle of users, and achieve the effect of long purchase cycle

Active Publication Date: 2021-06-11
昆明电力交易中心有限责任公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the development of the domestic electricity retail market is still in its infancy, the electricity retail transaction e-mall has the characteristics of fast retail package updates and long user purchase cycles. At present, there is no scientific, reasonable and effective electricity retail package based on collaborative filtering optimization. Recommended system

Method used

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  • Power retail package recommendation method and system based on collaborative filtering optimization
  • Power retail package recommendation method and system based on collaborative filtering optimization
  • Power retail package recommendation method and system based on collaborative filtering optimization

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Embodiment Construction

[0061] The present invention will be further described in detail below in conjunction with the examples.

[0062] Those skilled in the art will understand that the following examples are only for illustrating the present invention and should not be considered as limiting the scope of the present invention. If no specific technique or condition is indicated in the examples, it shall be carried out according to the technique or condition described in the literature in this field or according to the product specification. The materials or equipment used are not indicated by the manufacturer, and they are all conventional products that can be obtained through purchase.

[0063] 1. Problem definition

[0064] In the electricity market, the practical significance of analyzing the recommendation degree of electricity retail packages to electricity retail users is to analyze the possibility of electricity retail users choosing a certain electricity retail package in the future based ...

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Abstract

The invention relates to an electric power retail package recommendation method and system based on collaborative filtering optimization, and belongs to the technical field of information. The purchase tendency of the power retail users is highly restored according to historical transaction behavior data, the similarity of transaction behaviors of the power retail users is deeply mined, the system recommends the power retail packages of the users in a personalized mode through calculation and analysis, and an efficient power retail package tool is provided for a power retail transaction electronic mall. The method effectively guides the power retail users to carry out interactive optimization with the power retail platform, meets the recommendation demands of the users through the targeted recommendation of the price packages, effectively improves the product selling efficiency of the power retail platform, and promotes the establishment of a long-term stable customer relationship and a continuously developed power retail market.

Description

technical field [0001] The invention belongs to the field of information technology, and in particular relates to a method and system for recommending power retail packages based on collaborative filtering optimization. Background technique [0002] In the context of domestic electricity market reform, electricity retailers play the role of electricity retailers, and some electricity users directly purchase electricity through electricity retailers, and these users are electricity retail users. The core business of electricity retailers is to develop electricity retail users to sell electricity to obtain income. Therefore, recommending interested electricity retail packages based on the transaction behavior of electricity retail users can improve the product sales efficiency of the electricity retail system and satisfy users' needs. It is of great significance to better maintain customers and open up markets for the electricity retail trading electronic mall. At present, th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06Q30/02G06Q50/06
CPCG06Q30/0631G06Q30/0621G06Q30/0201G06Q50/06
Inventor 韩汶汐陈然张加贝蔡华祥赵伟华邹贤孙恒一高航王睿琛蔡娜
Owner 昆明电力交易中心有限责任公司
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