Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Article recommendation method, device, equipment and system and readable storage medium

A recommendation method and item technology, applied in instruments, data processing applications, business, etc., can solve problems such as long processing time and insufficient processing resources, and achieve the effects of improving accuracy, narrowing the selection range, and improving recommendation efficiency

Pending Publication Date: 2020-10-16
ALIBABA GRP HLDG LTD
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, when the application software implements personalized item recommendation, since the number of items that can be provided to the user is too large, selecting the item recommended to the user from all the available items will lead to long processing time and processing resources. Insufficient and other issues

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Article recommendation method, device, equipment and system and readable storage medium
  • Article recommendation method, device, equipment and system and readable storage medium
  • Article recommendation method, device, equipment and system and readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0088]

[0089] In this embodiment, an item recommendation method is provided. The items (also known as item) that this method can be applied to can include novels, news, information or articles that can be browsed and read by users, or videos, short videos, etc. that can be played and watched by users, or can be read by users. Check out the various items purchased. This item recommendation method can not only be applied to various online item recommendation scenarios, for example, recommending consumable items to users on an e-commerce platform, but also applicable to LBS (Location Based Service, location-based service) scenarios, O2O (Online Item recommendation in scenarios such as To Offline, online to offline). For example, in an O2O scenario combined with LBS, the item is location information. When the user clicks to open the details page of a restaurant, it can be recommended to the user. Information about restaurants that other users have also visited, and more.

[...

no. 2 example

[0207] In this embodiment, an item recommendation method is provided. The items (also known as item) that the method can be applied to can include novels, news, information, or articles that users can browse and read, or videos, short videos, etc. that users can play and watch, or can be selected by users Various items purchased. This item recommendation method can not only be applied to various online item recommendation scenarios, for example, recommending items available for consumption to users on an e-commerce platform, but also applicable to LBS (Location Based Service, location-based service) scenarios, O2O ( Item recommendation in scenarios such as Online To Offline, online to offline). For example, in an O2O scenario combined with LBS, the item is location information. When the user clicks to open the details page of a restaurant, it can be recommended to the user. Location information that other users of this restaurant have also visited, etc.

[0208] Such as Fi...

no. 3 example

[0255] In this embodiment, an item recommendation system 7000 is provided. The item recommendation system 7000 may include the item recommendation device 3000 provided in the first embodiment and the item recommendation device 5000 provided in the second embodiment. Alternatively, the item recommendation system 7000 may include the item recommendation device 4000 provided in the first embodiment and the item recommendation device 6000 provided in the second embodiment.

[0256]

[0257] The following will combine Figure 10 , Figure 11 Further examples are given to illustrate the item recommendation method implemented by the item recommendation system provided in this embodiment.

[0258] In this example, the item to be recommended is a short video. Short video is short video, which is a way to disseminate content through the Internet. Generally, short video dissemination content that is disseminated on the Internet belongs to short video.

[0259] Figure 10 shows the...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an article recommendation method, device, equipment and system and a readable storage medium. The method comprises the following steps: constructing a user article associationsequence according to acquired article selection records of all users in a historical statistical time period; and according to all the user item association sequences, obtaining item association information for item recommendation.

Description

technical field [0001] The present invention relates to the technical field of item recommendation, and more specifically, to an item recommendation method, device, equipment, system and readable storage medium. Background technique [0002] With the rapid development of computer and Internet technology, users can browse, view or purchase corresponding items through application software. These items may include news, fiction, articles, information, videos, merchandise, and the like. [0003] However, the number of items that can be obtained by users is usually huge. At present, application software that provides services for browsing, viewing or purchasing items usually provides personalized item recommendations for different users, and recommends items that may meet the user's item acquisition needs. Narrow the range of items that users can obtain, so that users can select the items they actually want to obtain more quickly. [0004] However, when the application software...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06Q30/06
CPCG06F16/9535G06Q30/0631
Inventor 王岳
Owner ALIBABA GRP HLDG LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com