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Emotion-aware product recommendation method based on mixed information fusion

A product recommendation and mixed information technology, applied in digital data information retrieval, commerce, instruments, etc., can solve the problems of less user information and low accuracy of product recommendation, and achieve the effect of comprehensive and sufficient information and improved accuracy

Active Publication Date: 2022-05-13
莫毓昌
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This kind of product recommendation system mainly has the following problems: because the product recommendation system considers less user information, it has the problem of low product recommendation accuracy

Method used

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  • Emotion-aware product recommendation method based on mixed information fusion
  • Emotion-aware product recommendation method based on mixed information fusion
  • Emotion-aware product recommendation method based on mixed information fusion

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Embodiment Construction

[0053] In order to make the technical problems solved by the present invention, the technical solution and beneficial effects more clearly understood, the following in conjunction with the accompanying drawings and embodiments, the present invention will be further elaborated in detail. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to qualify the present invention.

[0054] reference Figure 1 , the present invention provides a method of emotional perception based on mixed information fusion commodity recommendation, comprising the following steps:

[0055] Step 1, recommend the platform to create a collection of goods P = (P 1 ,P 2 ,...,P n ) and the user set Q= (Q 1 ,Q 2 ,...,Q m Wherein, the collection of goods P is the range of goods that can be recommended on the e-commerce platform, usually all the goods on the e-commerce platform, n is the number of goods that can be recommended; th...

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Abstract

The present invention provides an emotion-aware product recommendation method based on mixed information fusion, which includes: calculating the user similarity between users; calculating the initial product recommendation degree of the product to the user based on the user similarity; using the emotional information to correct the initial product to the user Commodity recommendation degree, to obtain the final product recommendation degree of the product to the user; for each product in the range of unpurchased products, the final recommendation value of the product to the user is obtained, and the final recommendation value corresponding to each product in the range of unpurchased products Arranged in order from high to low, select a number of top-ranked products and recommend them to users. The present invention comprehensively considers the score data and comment data of all users who have purchased the product, the similarity between the user and each user who has purchased the product, and the pre-purchase consultation and comment data of each product, so as to obtain product recommendation Degree, because the considered information is comprehensive and sufficient, effectively improving the accuracy of product recommendation results.

Description

Technical field [0001] The present invention belongs to the field of commodity recommendation technology, specifically relates to a method of recommending goods based on the emotional perception of mixed information fusion. Background [0002] The emergence and popularization of the Internet has brought a large amount of information to users to meet the needs of users for information in the information age, but with the rapid development of the network, the amount of information on the Internet has increased significantly, making it impossible for users to obtain information that is really useful to themselves in the face of a large amount of information, and the efficiency of the use of information is reduced, which is the problem of information overload. [0003] A very promising solution to the problem of information overload is the recommendation system, which is now widely used in many fields, the most typical application area is the field of e-commerce. [0004] In the fie...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/06G06F16/9536G06Q10/06G06K9/62
CPCG06Q30/0631G06F16/9536G06Q10/06393G06F18/22G06F18/25
Inventor 莫毓昌
Owner 莫毓昌
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