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

Cold start recommendation method and device and electronic equipment

A recommendation method and cold start technology, applied in the field of information processing, can solve the problems of not being able to accurately reflect users, cumbersome operations, and not being close to the actual needs of users

Pending Publication Date: 2020-10-23
ALIBABA GRP HLDG LTD
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, on the one hand, the user needs to input a large amount of registration information into the terminal, resulting in cumbersome user operations
On the other hand, the terminal cannot accurately reflect the characteristics of user-related information based on its own device information. For example, it cannot accurately query the user's location information based on its own device's IP address. All the registration information must be entered, which will cause the terminal to recommend products to users that cannot meet the actual needs of users

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
  • Cold start recommendation method and device and electronic equipment
  • Cold start recommendation method and device and electronic equipment
  • Cold start recommendation method and device and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0080] A cold start recommendation method provided in this embodiment, such as figure 2 As shown, including the following steps S101-S104:

[0081] S101. According to the user data generated by the new user by using a third-party application, obtain the user characteristic value of the new user for the set user characteristic.

[0082] In this embodiment, the new user may be a user whose current date is within a set time period from the registration date. For example, if the set time length is one month, all users whose current date is within one month from the registration date are called for new users.

[0083] In this embodiment, the third-party application may include: at least one of a video playback platform, a search engine, a payment platform, a navigation and positioning platform, and an online shopping platform.

[0084] The user data generated by the above-mentioned new users through the use of third-party applications can be exemplified as:

[0085] When the th...

Embodiment 2

[0153] A cold start recommendation method provided in this embodiment, such as Figure 5 As shown, the following steps S501-S505 may be included:

[0154] S501. According to the user data generated by the new user by using a third-party application, obtain the user characteristic value of the new user for the set user characteristic.

[0155] S502. Obtain the classification characteristic value obtained by classifying each product in the product collection according to the user characteristic.

[0156] S503. Obtain the matching degree between the new user and each product according to the user feature value and the classification feature value of each product.

[0157] It should be noted that, the specific implementation of the above S501-S503 is the same as the specific implementation of the above S101-S103, and will not be repeated here.

[0158] S504. Obtain the search popularity of each product in the search engine.

[0159] In this embodiment, the search popularity can...

Embodiment 3

[0170] A cold start recommendation method provided in this embodiment, such as Image 6 As shown, the following steps S601-S605 may be included:

[0171] S601. According to the user data generated by the new user by using a third-party application, obtain the user characteristic value of the new user for the set user characteristic.

[0172] S602. Obtain the classification characteristic value obtained by classifying each product in the product collection according to the user characteristic.

[0173] S603. Obtain the matching degree between the new user and each product according to the user feature value and the classification feature value of each product.

[0174] It should be noted that, the specific implementation of the above S601-S603 is the same as the specific implementation of the above S101-S103, and will not be repeated here.

[0175] S604. Obtain the transaction popularity of each product formed through transaction payment.

[0176] In this embodiment, the afo...

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 a cold start recommendation method and device and electronic equipment, and the method comprises the steps of obtaining a user feature value of a new user for a set user feature according to the user data generated by the new user through employing a third-party application; obtaining a classification feature value obtained by classifying each product in a product set according to the user feature; obtaining a matching degree between the new user and each product according to the user characteristic value and the classification characteristic value of each product; andobtaining a product recommendation list of the new user at least according to the matching degree between the new user and each product.

Description

technical field [0001] The present invention relates to the technical field of information processing, and in particular to a cold start recommendation method, a cold start recommendation device, an electronic device, and a computer-readable storage medium. Background technique [0002] With the development of science and technology, more and more people tend to read or purchase products through terminals, such as reading books or purchasing commodities. [0003] At present, when a user uses a terminal to read or purchase a product for the first time, the user needs to input a large amount of registration information into the terminal, and the terminal recommends related products to the user according to the large amount of registration information and its own device information. Taking the user using the terminal to read books for the first time as an example, when the user starts the terminal for the first time, a corresponding form is displayed on the display interface of...

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
IPC IPC(8): G06F16/9535G06Q30/06
CPCG06F16/9535G06Q30/0631
Inventor 苏云琳
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