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Commodity feature recommending method based on body classification

A recommendation method, product technology, applied in marketing and other directions, can solve problems such as inflexibility, difficulty in modifying usage evolution, etc.

Inactive Publication Date: 2013-12-04
SUZHOU LIANGJIANG TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, because it is based on historical data, after capturing and modeling user preferences, it is difficult to modify or evolve according to user usage, which makes this method not flexible enough

Method used

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  • Commodity feature recommending method based on body classification
  • Commodity feature recommending method based on body classification
  • Commodity feature recommending method based on body classification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] The present invention will be further described below in conjunction with the accompanying drawings.

[0065] A product feature recommendation method based on ontology classification, such as image 3 As shown, the following steps are executed in sequence:

[0066] (1) Import commodity information in ERP and build commodity feature ontology library:

[0067] Ontology is based on the model of class-based triples, namely subject, object and predicate, which represent two objects and a certain connection between them; as Figure 4 Shown is the product feature ontology of the simulated retail industry in this example, where a classification of instant noodles is constructed as a display.

[0068] (2) Import the user's shopping records in ERP, and construct the user-product two-dimensional scoring matrix according to the implicit scoring calculation formula:

[0069] (21) Import user shopping records in ERP;

[0070] (22) Calculate the purchase frequency F of user i for ...

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Abstract

The invention discloses a commodity feature recommending method based on body classification. The commodity feature recommending method comprises: (1) building a commodity feature body library; (2) building a user-commodity two-dimensional grading matrix; (3) building a user-commodity feature two-dimensional grading matrix; (4) performing recommended commodity set calculation according to a commodity feature recommending algorithm; (5) classifying the calculated recommended commodity set, and selecting K commodities with highest grade evaluated by each classification selecting user to serve as a recommended commodity set of this kind. The commodity feature recommending method based on body classification can perform evaluation calculation on features of the commodities, predication evaluation can be calculated if one commodity is registered in the system and recorded in the commodity feature body library, and the problem of new commodities can be solved. Further, the commodity feature recommending method fully utilizes level features of the body data library, and can easily achieve level inquiring and feature inquiring of commodity classification compared with a traditional data library.

Description

technical field [0001] The invention relates to a product feature recommendation method based on ontology classification, which belongs to computer application technology. Background technique [0002] Ontology is a kind of knowledge base, which describes domain things with semantics, so it can be said to be another kind of database. The goal of ontology is to capture the knowledge of related fields, provide a common understanding of the knowledge in this field, determine the commonly recognized vocabulary (terms) in this field, and give the information of these words and the relationship between words from different levels of formal models. Clearly defined. In general, constructing ontology can achieve a certain degree of knowledge sharing and reuse, and improve the ability of system communication, interoperability and reliability. [0003] The meaning of data is semantics. Simply put, data are symbols. Data itself has no meaning. Only data with meaning can be used. At ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
Inventor 陈国庆刘为谦
Owner SUZHOU LIANGJIANG TECH
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