Shopping basket recommendation method and device based on course purchase and electronic equipment

A recommendation method and a technology for recommending devices, which can be applied in sales/lease transactions, instruments, commerce, etc., can solve problems such as difficult judgments for students and insufficient knowledge points, and achieve the effects of improving understanding, saving time, and reducing time

Pending Publication Date: 2021-10-08
弘成科技发展有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

A single course is not enough for students to understand the knowledge before and after, so they need to find a set of coherent courses to learn. For courses that students are not familiar with, it is difficult for students to judge what knowledge points run through before and after, and which courses need to be purchased. Therefore, for those who are purchasing Students of a certain learning course can accurately find the set of courses packaged and sold together with the course according to the purchase situation of the course, and help students find the related courses of the course. However, there is no good technology in the current online education field program can do this

Method used

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  • Shopping basket recommendation method and device based on course purchase and electronic equipment
  • Shopping basket recommendation method and device based on course purchase and electronic equipment
  • Shopping basket recommendation method and device based on course purchase and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0050] like figure 1 As shown, the shopping basket recommendation method based on course purchase includes the following steps:

[0051] collect course purchase data entries;

[0052] According to the FP-Growth algorithm, frequent patterns are obtained through data entries;

[0053] According to the frequent pattern, according to the purchased first course, recommend the second course, the first course and the second course are both frequent patterns;

[0054] Repeat the steps above with the data for the newly purchased course.

[0055] As an optional implementation, the "according to the FP-Growth algorithm, obtaining frequent patterns through data entries" includes the following steps:

[0056] Use the data in the transaction database to construct FP-tree;

[0057] Mining conditional pattern bases;

[0058] Build a local FP-tree according to the conditional pattern base;

[0059] Mining frequent association rules.

[0060] As an optional implementation, the "construct...

Embodiment approach

[0123] As an optional implementation, the construction unit includes:

[0124] Scanning subunits are used to scan the transaction database once to obtain frequent 1-itemsets;

[0125] The sorting and inserting subunit is used to sort the transaction data items in the transaction database according to the support, and then insert the data items in each transaction into a tree with NULL as the root node in descending order, and at the same time Record the support degree of the node at each node;

[0126] Create a subunit to scan the transaction database again to create an FP-tree.

[0127] As an optional implementation manner, the conditional pattern base mining unit includes;

[0128] The selected subunit is used to select a frequent 1-itemset sorted in descending order based on the support count, assuming it is Item, that is, the frequent 1-itemset in the head table of the FP-tree. At this time, the frequent 1-itemset is called Item set Item is a suffix;

[0129] Traversin...

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PUM

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Abstract

The invention discloses a shopping basket recommendation method and device based on course purchase and electronic equipment. The method comprises the following steps: collecting course purchase data entries; according to an FP-Growth algorithm, obtaining a frequent pattern through the data items; according to the frequent mode, recommending a second course based on the purchased first course, wherein the first course and the second course are both in the frequent mode; and repeating the steps by using the data of the newly purchased course. The method can help students to quickly and effectively find associated courses of a certain course, so that the students can understand knowledge points with a coherent thinking, and the understanding of the students on the knowledge points is improved.

Description

technical field [0001] The invention belongs to the technical field of computer software applications, and in particular relates to a shopping basket recommendation method, device and electronic equipment based on course purchase. Background technique [0002] In education for students, online education etc. are developing rapidly. A single course is not enough for students to understand the knowledge before and after, so they need to find a set of coherent courses to learn. For courses that students are not familiar with, it is difficult for students to judge what knowledge points run through before and after, and which courses need to be purchased. Therefore, for those who are purchasing Students of a certain learning course can accurately find the set of courses packaged and sold together with the course according to the purchase situation of the course, and help students find the related courses of the course. However, there is no good technology in the current online ed...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06Q50/20
CPCG06Q30/0601G06Q30/0631G06Q50/205
Inventor 原泉泉王健
Owner 弘成科技发展有限公司
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