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

Integrated method used for finance product recommending system

A recommendation system and integration method technology, applied in the field of online product recommendation, can solve the problem of cold start of the recommendation system, reduce the cold start problem, improve the recommendation performance, and expand the applicable scenarios.

Active Publication Date: 2018-10-16
SHANGHAI DIGITAL CHINA INFORMATION TECH SERVICE CO LTD
View PDF6 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0015] The invention provides an integration method for a financial product recommendation system, which reduces the impact of data sparsity and solves the cold start problem of the recommendation system
The recommendation algorithm based on demographics does not require historical data and does not depend on the attributes of items, which can solve the user's cold start problem

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
  • Integrated method used for finance product recommending system
  • Integrated method used for finance product recommending system
  • Integrated method used for finance product recommending system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] like figure 1 As shown, the present invention provides an integrated method for a wealth management product recommendation system, comprising the following steps:

[0019] The input data are: user feature information, item-attribute matrix, user-item rating matrix; the output data are: product recommendation model, user recommendation results.

[0020] Step 1: Recommendation algorithm based on demographics.

[0021] The traditional recommendation algorithm based on demographics is improved, and different weights are assigned to different user attributes. The present invention selects four characteristics of age, gender, occupation and hobbies as the scope of consideration, and preprocesses each attribute information into a form of digital representation. Calculate the similarity between users to get user preferences.

[0022] 1. Age attribute. In the present invention, the increment is 5 years old. For example, 32 years old can be recorded as 7, and 56 years old can ...

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 integrated method used for a finance product recommending system. Based on a data smooth collaborative filtering algorithm, filling can be conducted on sparse data, and theproblem of sparsity of the data is solved. Based on a recommendation algorithm of population statistics, historic data is not needed, dependency on attributes of objects is not needed, and the problemof cold start can be solved for a user; the two kinds of algorithms are integrated with a recommendation algorithm which is good in expressive performance and is based on item clustering and matrix decomposition, the range of application scenes is enlarged for the recommendation algorithm, and the self-adaptability of the recommendation algorithm is improved. The integrated method can effectivelyreduce the sparsity of the data and solve the problem of cold start, and promotes recommendation performance for each user.

Description

technical field [0001] The invention belongs to the technical field of online product recommendation, and in particular relates to an integration method for a wealth management product recommendation system. Background technique [0002] Traditional recommendation algorithms mostly use user rating data to calculate user interest preferences and resource similarity. The quality of recommendation for sparse data and new users is low, and it is impossible to maximize the information brought by hidden data. [0003] In recent years, in response to the problems caused by data sparsity, in order to improve the recommendation effect, scholars have introduced algorithms such as principal component analysis, cluster analysis, and singular value decomposition into the traditional collaborative filtering recommendation algorithm, and narrowed down the target users through dimensionality reduction. Searching the range of nearest neighbors has significantly improved the accuracy and real...

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): G06Q30/02G06Q30/06G06Q40/06
CPCG06Q30/0255G06Q30/0631G06Q40/06
Inventor 李建强李倩张丝雨
Owner SHANGHAI DIGITAL CHINA INFORMATION TECH SERVICE CO 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