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Application of single-item-missing-based negative sequence pattern in commodity recommendation

A product recommendation, negative sequence technology, applied in data processing applications, commerce, instruments, etc., can solve problems such as missing negative sequence patterns, unable to truly represent customer purchasing behavior, and strict constraints.

Inactive Publication Date: 2017-06-30
QILU UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0015] Aiming at the problems that many meaningful negative sequence patterns are lost in the mining process due to too strict constraints in the existing algorithms, and the purchase behavior of customers cannot be truly represented, the present invention proposes a negative sequence pattern mining algorithm NegI-NSP based on a single item missing

Method used

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  • Application of single-item-missing-based negative sequence pattern in commodity recommendation
  • Application of single-item-missing-based negative sequence pattern in commodity recommendation
  • Application of single-item-missing-based negative sequence pattern in commodity recommendation

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specific Embodiment approach

[0073] The present invention is further limited below in conjunction with embodiment, but is not limited thereto.

Embodiment

[0075] The application of negative sequence patterns based on single missing items in commodity recommendation includes the following steps:

[0076] (1) Define a data sequence that contains a negative sequence

[0077] The product that the customer originally wanted to buy but did not purchase is a negative item, also known as non-occurrence behavior; a customer’s shopping record is an element; an element that contains at least one negative item is a negative element; the customer’s shopping record over a period of time is called A data sequence, a sequence containing at least one negative element is called a negative sequence;

[0078] MPSE refers to the largest positive subelement of a customer in a shopping record; for example, a negative element in with Represents the products that the customer did not purchase this time, while b and d represent the products that the customer purchased this time. Its largest positive subelement is expressed as In particular, nega...

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Abstract

The present invention relates to the application of a negative sequence pattern based on a single non-occurring item in product recommendation. The present invention is applied in the process of analyzing customer purchase behavior, which can fully represent the customer's real purchase behavior, thereby discovering the customer's real frequent purchases or infrequent purchases. The act of purchasing goods. In this way, when a customer purchases a commodity, the present invention can be used to recommend some other customers to purchase products that are frequently purchased jointly, thereby increasing the transaction opportunity of the customer, converting website viewers into buyers, improving cross-selling capabilities, and improving customer satisfaction. loyalty, thereby improving the economic benefits of the website.

Description

technical field [0001] The invention relates to the application of a negative sequence pattern based on a single item deletion in commodity recommendation, and belongs to the application technical field of the negative sequence pattern. Background technique [0002] With the rapid development of the Internet, online shopping has gradually replaced the traditional shopping form and become the mainstream form of shopping from large cities to small and medium-sized cities to rural areas. Online shopping is based on mutual trust and mutual benefit, overcomes geographical and time barriers, and provides consumers with rich product information. Consumers can browse multiple stores, multiple websites, and even overseas shopping to obtain more competitively priced, personalized, and customized products. This brings consumers greater shopping convenience, more product choices, and a huge advantage in shopping. Therefore, in recent years, online shopping has shown explosive growth, ...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q30/02
CPCG06Q30/0631G06Q30/0201G06Q30/0202
Inventor 董祥军邱萍
Owner QILU UNIV OF TECH
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