Power supply marketing service method based on improved feature word weight algorithm

Abstract

A power supply marketing service method based on an improved feature word weight algorithm relates to the field of power supply marketing service, and comprises the steps of performing data classification from a behavior-demand-value dimension of a power customer based on power customer data of a power supply enterprise and external power customer data published by a social institution; constructing a power customer characteristic index set by using a multi-label classification algorithm; analyzing the cost of a power supply enterprise, and performing dynamic game analysis to obtain an optimalpower supply marketing service mode; aiming at the economic contribution portrait of the power customer, carrying out portrait modeling on the economic contribution of the power customer through a TF-IDF algorithm; dividing the power customers into certain grades according to the portraits; and performing services of different contents according to the grades, and considering the influence of thechange of the power supply marketing service strategy on the operation of the power supply enterprise, the requirements of the power customers and the operation capability of the power supply enterprise, so that the scheme is more universal, and differentiated services are provided for different types of power customers.

Description

technical field [0001] The invention relates to the field of power supply marketing services, in particular to a power supply marketing service method based on an improved feature word weight algorithm. Background technique [0002] TF-IDF (feature word weight): TF-IDF (term frequency–inversed document frequency) is a commonly used weighting technique for information retrieval and data mining. Where TF is Term Frequency and IDF is Inverse Document Frequency. TF-IDF is a statistical method for evaluating the importance of a word to a document set or a document in a corpus. The importance of a word increases proportionally to the number of times it appears in the document, but decreases inversely proportional to the frequency it appears in the corpus. Various forms of TF-IDF weighting are often applied by search engines as a measure or rating of how relevant a document is to a user query. In addition to TF-IDF, search engines on the Internet also use ranking methods based o...

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Problems solved by technology

[0008] The purpose of the present invention is to: provide a power supply marketing service method based on the improved feature word weight algorithm, adopt the classification method of the feature word weight algorithm, and combine the multi-label classification algorithm and dynamic game, can formulate different power customers for different Power supply marketing service, which solves the problem that the existing passive service model cannot meet the growing service demands of power customers

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