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Information recommendation method and equipment and storage medium

A technology of information recommendation and recommendation algorithm, applied in the computer field, can solve problems such as low accuracy rate, and achieve the effect of high recommendation accuracy rate, better user experience, more pertinence and accuracy

Pending Publication Date: 2018-07-27
CHINA ACADEMY OF ELECTRONICS & INFORMATION TECH OF CETC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is an information recommendation method, device and storage medium to solve the problem of low accuracy of existing information recommendation methods

Method used

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  • Information recommendation method and equipment and storage medium
  • Information recommendation method and equipment and storage medium
  • Information recommendation method and equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0025] This embodiment provides an information recommendation method. figure 1 is a flow chart of the information recommendation method according to the first embodiment of the present invention.

[0026] Step S110, collecting user behavior data on a page of a preset structure type.

[0027] On the page of the preset structure type, one or more pieces of recommended information are displayed.

[0028] Structure type, including but not limited to: home page, column page, search page, content page. The structure type of the page can be predefined according to the requirements, such as figure 2 shown.

[0029] User behavior data, including but not limited to: the user's location, domain name, stay time on the page, click behavior data on the page, and the number of repeated visits to the page.

[0030] Set the structure type for each page in the website, and set the corresponding recommendation model for each structure type; collect user behavior data in the pages correspond...

Embodiment 2

[0046] The training process of the recommendation model is described below.

[0047] In this embodiment, user behavior data is collected on a page of a preset structure type, and a recommendation model corresponding to the structure type is trained using the collected user behavior data.

[0048] Further, using the click behavior data in the user behavior data, a machine learning algorithm is used to train the recommendation model corresponding to the structure type. Wherein, the machine learning algorithm includes but not limited to: deep learning algorithm, SVM (Support Vector Machine, support vector machine) algorithm.

[0049] By continuously training the recommendation model, the recognition accuracy of the recommendation model can be gradually improved. In this embodiment, the steps of information recommendation can be executed cyclically, and further, the recommendation model can be trained cyclically to gradually increase the accuracy of the recommendation model. In ...

Embodiment 3

[0061] This embodiment also provides a computer program, a storage medium storing the program, and a data transmission device. Wherein, executing the program is used to realize the following steps: collect user behavior data in a page with a preset structure type; filter preference information in the network according to the user behavior data and a variety of preset recommendation algorithms; A recommendation model corresponding to the structure type determines recommendation information from the filtered preference information and historical recommendation information, and displays the recommendation information on the page.

[0062] Further, the collecting user behavior data in the page of the preset structure type includes: collecting the click behavior data of the recommended information in the page of the preset structure type; after collecting the user behavior data, screening preference in the network Before the information, it also includes: training a recommendation ...

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Abstract

The invention discloses an information recommendation method and equipment and a storage medium. The method includes the steps of in a page in a preset structural type, collecting user behavior data;according to the user behavior data and various preset recommendation algorithms, screening out preference information in an internet; through a recommendation model which is pretrained and corresponds to the structural type, determining recommendation information in the screened out preference information and historical recommendation information and displaying the recommendation information in the page. According to the information recommendation method and equipment and the storage medium, when the recommendation model is used for determining the recommendation information, the preference information screened out by means of various recommendation algorithms and the historical recommendation information are adopted as reference, so that the determined recommendation information has higher pertinency and accuracy, the user experience is more excellent, and intelligent fusion of various algorithms is achieved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to an information recommendation method, device and storage medium. Background technique [0002] With the rapid development and popularization of the Internet and mobile Internet, people use the Internet to browse news, buy goods, handle business, and participate in educational and entertainment activities. The network has gradually become an indispensable and important part of people's daily life. However, while the Internet brings convenience to life, it also has its own development problem—information trek. The information in the network grows exponentially, and the amount of data is too large. It is difficult for users to quickly and directly find the information they need in the huge network information, and spend a lot of time in the process of information search and docking. In response to this problem, personalized recommendation technology emerged as the times...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/06
CPCG06F16/9535G06Q30/0631
Inventor 李博文
Owner CHINA ACADEMY OF ELECTRONICS & INFORMATION TECH OF CETC
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