Knowledge based agricultural material commodity recommendation method

An agricultural commodity and recommendation method technology, applied in the field of knowledge-based agricultural commodity recommendation, can solve the problems of cold start, ignoring user preferences, etc., and achieve the effect of efficient recommendation

Inactive Publication Date: 2017-09-05
无锡中科富创科技孵化有限公司
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  • Claims
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the traditional methods for recommending agricultural materials and commodities, and provide a knowledge-based method for recommending agricultural materials and commodities. Affect the needs and preferences of users to choose products, focusing on user needs and ignoring user preferences

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  • Knowledge based agricultural material commodity recommendation method
  • Knowledge based agricultural material commodity recommendation method

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Embodiment Construction

[0022] In order to facilitate a further understanding of the process and characteristics of the present invention, the present invention will be further described below with reference to specific drawings and examples (taking fertilizer commodities in agricultural commodities as examples).

[0023] Such as figure 1 , figure 2 In order to proceed from the actual needs of users and make use of relevant agricultural production knowledge to scientifically recommend agricultural materials and commodities to improve the scientific nature and efficiency of recommendation, the present invention provides a knowledge-based method for recommending agricultural materials and commodities, including the following steps :

[0024] S1. Analyze the characteristics of users and commodities based on the background of the problem, and generate a case library structure based on these characteristics;

[0025] Among them, the user table is as follows:

[0026] User ID user name User area Grow crops o...

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Abstract

The invention discloses a knowledge based agricultural material commodity recommendation method, and relates to the technical field of commodity personalized recommendation. The knowledge based agricultural material commodity recommendation method comprises the steps of analyzing user and commodity features by combining the problem background, and generating a case library structure according to the features; according to specific user information, judging whether a case corresponding to the user feature exists or not in the case library, and thus performing different operations on the case library; acquiring a commodity feature matched with the corresponding user feature from the case library, and generating an agricultural material commodity supposed to be recommended by combining the commodity information. Compared with a traditional agricultural material commodity recommendation method, the recommendation method provided by the invention solves a problem of cold start; the scientificity and effectiveness of agricultural material commodities are ensured based on actual requirements of users by combining agricultural production knowledge; the establishment of the case library enables the knowledge based recommendation to be more efficient.

Description

Technical field [0001] The invention relates to the technical field of commodity personalized recommendation, in particular to a knowledge-based method for recommending agricultural materials and commodities. Background technique [0002] Product personalized recommendation technology plays an important role in modern e-commerce. Demand and preference are two factors that affect consumers' purchase of goods, as well as two important aspects that should be considered in the recommendation method. Traditional agricultural product recommendation methods are mostly based on product recommendations and collaborative filtering recommendations, which require certain product sales records as support, and extract user preferences from these product sales records. In addition, due to the special nature of agricultural products—the inability to bring users a direct product experience when purchasing, this feature makes the traditional method of only considering user preferences for agricul...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06F17/30
CPCG06F16/23G06Q30/0631
Inventor 毛静静王儒敬王伟方薇屠舒妍
Owner 无锡中科富创科技孵化有限公司
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