Recommendation method for power market multi-layer collaborative information service

Abstract

The invention belongs to the field of collaborative analysis and decision-making of multi-level power market information service, and particularly relates to a recommendation method for a power market multi-layer collaborative information service. The recommendation method is characterized by being adapt to a multi-layer collaborative filtering method based on fuzzy evaluation, and solves the individual information recommendation problem in multi-level power market information issuing. The content of the recommendation method comprises the steps of: (1) constructing a relevancy attribute factor evaluation index system for issuing information; (2) carrying out fuzzy comprehensive evaluation according to information attribute factors; (3) generating an issued information item set for recommendation based on a membership degree threshold value; (4) calculating similarity coefficients between items of each issued information item in the set; (5) calculating a user prediction score of each information item and ranking the scores; (6) and generating a top-N nearest neighbor item set and recommending the item set the users. The recommendation method analyzes typical application scenarios, implements the information service collaborative recommendation method oriented toward the typical service scenarios, and enhances the timeliness and precision of the user information service experience.

Description

technical field [0001] The invention belongs to the field of collaborative analysis and decision-making of multi-level electric power market information services, and in particular relates to a recommendation method for multi-level collaborative electric power information services. Background technique [0002] Information service is an important content and field of information management research. By disseminating information and exchanging information, valuable information is delivered to users, and ultimately helps users improve the value of information and realize information value-added. Information services in the electricity market mainly include basic services such as information release, information disclosure, and service complaints, as well as different value-added services such as consulting services, training services, and analysis services. The core goal of information services is value-added services with high user satisfaction. The concept of information val...

AI Technical Summary

Problems solved by technology

[0005] At present, multi-level power market information data belong to different market participants, and the data presents the characteristics of discreteness, heterogeneity, and sparseness. For the demand for user information value-added services, traditional recommendation technology has been unable to solve the unification of multi-level market information. Sexuality and Accuracy Recommendation Questions

In addition, the information service platform of the unified electricity market still does not have an effective multi-level information recommendation method to support it, and cannot provide collaborative recommendation services for unified electricity market information

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