User cold start product recommendation method and system based on locality sensitive hashing

A technology of local sensitive hash and recommendation method, applied in the field of data processing, can solve the problems of resource consumption, affecting user experience, and increasing similarity calculation amount, so as to achieve the effect of improving user experience, comprehensively recommending content, and improving accuracy.

Pending Publication Date: 2020-11-20
BANK OF CHINA
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Difficult to calculate similar users since "tourist" category users do not have any information
In addition, when the number of users increases greatly, the amount of calculation of user similarity increases rapidly, consuming resources
[0006] Therefore, since new users have no or only a small amount of records and information, it is difficult for the recommendation system to make reasonable recommendations for them, which seriously affects the user's experience when using a cross-border APP for the first time, and increases the risk of customer loss

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
  • User cold start product recommendation method and system based on locality sensitive hashing
  • User cold start product recommendation method and system based on locality sensitive hashing
  • User cold start product recommendation method and system based on locality sensitive hashing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The principle and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are given only to enable those skilled in the art to better understand and implement the present invention, rather than to limit the scope of the present invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0039] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, device, method or computer program product. Therefore, the present disclosure may be embodied in the form of complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0040] According to an embodiment of the present invention, a local sensitive hash-based m...

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 provides a user cold start product recommendation method and system based on locality sensitive hashing. The method comprises the steps: collecting product operation data in a current time window, and selecting a first hot product; obtaining information carried by a product, and generating product vector data; according to the product vector data, calculating the similarity between the products based on a locality sensitive hash algorithm; establishing an association relationship between the product large class and the interest label; if the user type of the new user is a touristmode user, displaying the first hot product as a first exposure product; if the user is the registered user, obtaining the selected interest label, obtaining a second hot product, and generating a first exposure product according to a preset weight for display; and when the new user and the first exposure product user have an interactive behavior, searching for an interactive similar product according to the similarity between the products, and displaying the similar product as a new exposure product, so that a personalized user cold start result can be generated, and the user experience is improved.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a user cold-start product recommendation method and system based on local sensitive hash. Background technique [0002] With the development of the Internet, cross-border APPs are facing a serious problem of information overload. As one of the effective means to solve information overload in cross-border scenarios, the recommendation system can use the interaction records between users and cross-border APPs to recommend items that users may like. . [0003] In the prior art, when a new user logs into the banking system, there are two commonly used recommendation methods: [0004] 1. Random recommendation method. When a new user enters the banking system, the recommendation algorithm randomly selects several items in the item library to recommend to the user; this method does not use any interaction information between the user and the banking system, and the recommendati...

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): G06F16/9535G06Q40/02
CPCG06F16/9535G06Q40/02
Inventor 狄潇然
Owner BANK OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap