Knowledge system-oriented personalized recommendation method and computer storage medium

A recommendation method and knowledge system technology, applied in the field of data mining, can solve the problems of misleading data and high computational complexity, and achieve the effect of improving accuracy

Active Publication Date: 2020-07-28
NANJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

However, this method often has high computational complexity and is easily misled by data with a high degree of dispersion, resulting in overfitting

Method used

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  • Knowledge system-oriented personalized recommendation method and computer storage medium
  • Knowledge system-oriented personalized recommendation method and computer storage medium
  • Knowledge system-oriented personalized recommendation method and computer storage medium

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Embodiment Construction

[0035] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0036] There are many carrier forms of knowledge, such as books, documents, etc., can be used as our recommended items. Here we mainly take the book data based on user ratings as an example, and each book represents an item. according to figure 2 It can be seen that a personalized recommendation method for knowledge systems mainly includes these parts: data extraction, matrix generation, training through item-based collaborative filtering algorithm, training through matrix decomposition algorithm, and comparison mechanism , repeat the training to generate prediction results. We first establish a relationship matrix based on the rating correspondence between users and items; then use the established relationship matrix to train and predict through the project-based collaborative filtering algorithm and matrix decomposition algorithm; then send the predicted ...

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Abstract

The invention discloses a knowledge system-oriented personalized recommendation method and a computer storage medium, and the method comprises the steps: firstly building an initial scoring matrix, extracting scoring data information in a data source, building a two-dimensional matrix, and filling a missing element value in the two-dimensional matrix with 0; then, training the initial scoring matrix based on a project collaborative filtering algorithm, and redefining 0 elements in the initial matrix so as to form a new matrix A; training the initial scoring matrix by using a matrix decomposition algorithm, and redefining an element 0 in the initial matrix by using a training result so as to form a new matrix B; and finally, comparing corresponding element values in the matrixes A and B, resetting elements with different numerical values to obtain a matrix C, repeatedly training the matrix C, and determining a final prediction value by adopting a weighted sum mode. The method is appliedto a knowledge system, a good recommendation effect can be achieved, and the problem of knowledge overload is well relieved.

Description

technical field [0001] The invention belongs to the field of data mining, and in particular relates to a knowledge system-oriented personalized recommendation method and a computer storage medium. Background technique [0002] The emergence and popularization of the Internet has brought a large amount of information to users, which has met the needs of users for information in the information age. Sometimes you can't get the part of information that is really useful to you, and the efficiency of using information is reduced. This is the so-called information overload problem. [0003] A very potential way to solve the problem of information overload is to use the recommendation system. The recommendation system is the most widely used in e-commerce websites. It uses e-commerce websites to provide customers with product information and suggestions, helping users decide what products to buy, and simulating salespeople. Help customers through the buying process. Personalized ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9536G06K9/62G06Q30/06
CPCG06F16/9536G06Q30/0631G06F18/22
Inventor 徐小龙孙逍
Owner NANJING UNIV OF POSTS & TELECOMM
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