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Commodity search method and device, computer equipment and storage medium

A search method and computer program technology, applied in the field of search, can solve the problems of inability to use users, configure sorting results, and fail to meet sorting requirements, and achieve the effect of accurate display and improved user perception.

Pending Publication Date: 2021-01-01
GREE ELECTRIC APPLIANCES INC +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the default sorting results cannot meet the user's other single-dimensional or multi-dimensional sorting requirements, let alone allow users to configure the sorting results

Method used

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  • Commodity search method and device, computer equipment and storage medium
  • Commodity search method and device, computer equipment and storage medium
  • Commodity search method and device, computer equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] The product search method provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the terminal 102 communicates with the server 104 through the network. Wherein, the terminal 102 can be, but not limited to, various personal computers, servers, notebook computers, smart phones, tablet computers and portable wearable devices, and the server 104 can be realized by an independent server or a server cluster composed of multiple servers. The terminal 102 inputs a search word, and sends the search word to the server 104, sends a search request to the server, and the server 104 obtains the search word; adopts the Bayesian classification algorithm to classify the search word, and obtains the corresponding search word Search product categories; search for the search terms, and sort and display the search results according to the search product categories.

Embodiment 2

[0055] In this example, if figure 2 As shown, a commodity search method is provided, which includes:

[0056] Step 210, obtain the search term.

[0057] In this step, the user inputs search terms through the front-end page, and the server obtains the search terms input by the user.

[0058] In step 220, the Bayesian classification algorithm is used to classify the search words, and the search commodity category corresponding to the search words is obtained.

[0059]Specifically, the Bayesian classification algorithm is used to classify the product categories of each part of the search term, and determine the product category to which the user's search term belongs. Specifically, the establishment of the Bayesian classification algorithm model needs to collect all commodity categories in the entire commodity database, including primary classification, secondary classification or tertiary classification, and train a probability matrix for all commodity data, and then accordin...

Embodiment 3

[0090] In this embodiment, a product search method based on the Elasticsearch search engine is provided, including:

[0091] Step 510, obtain the search term.

[0092] Step 520, perform regular expression processing on the search words to obtain effective keywords.

[0093] Step 530: Classify the effective keywords by using the Bayesian classification algorithm, and obtain the search commodity category corresponding to the effective keyword and the corresponding probability value of the search commodity category.

[0094] Step 540 , extracting the filtered commodity categories whose probability values ​​are greater than a preset threshold from each of the searched commodity categories.

[0095] Step 550, obtaining the search grade corresponding to each filtered commodity category.

[0096] Step 560: Use the Elasticsearch search engine to search for the effective keywords, and sort and display the search results according to the filtered commodity category, search level and p...

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PUM

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Abstract

The invention provides a commodity search method and device, computer equipment and a storage medium. The method comprises the steps of obtaining a search term; performing classification processing onthe search term by adopting a Bayesian classification algorithm to obtain a search commodity category corresponding to the search term; and searching the search term, and sorting and displaying search results according to the search commodity category. According to the method, the search terms are classified by adopting the Bayesian classification algorithm, so the commodity search results can besorted and displayed according to categories, the display of the search results is more accurate, and the user perception is improved.

Description

technical field [0001] The present invention relates to the technical field of search, in particular to a commodity search method, device, computer equipment and storage medium. Background technique [0002] With the development of e-commerce technology and the rise of new retail e-commerce models, more and more stores have begun to carry out online sales. Therefore, more and more merchants have begun to have their own e-commerce platforms. How to allow consumers to search for the products they want from thousands of products and how to allow merchants to configure search results is a problem that a good e-commerce platform needs to solve. The problem. [0003] At present, large-scale e-commerce platforms have their own search engines, but these search engines are not open source, so small and medium-sized e-commerce platform search engines generally use open source Elasticsearch or solr search engines. These search engines themselves can solve the problem of full-text sea...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/953G06F16/9538G06K9/62
CPCG06F16/953G06F16/9538G06F18/24155
Inventor 叶林林叶文杰高晓东刘坤程滇倪
Owner GREE ELECTRIC APPLIANCES INC