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

Personalized recommendation method based on multi-type academic achievement portraits and mixed recommendation strategy

A hybrid recommendation and recommendation method technology, applied in the computer field, can solve the problems of new users not getting interest preferences, not being able to get recommendations, cold start, etc.

Pending Publication Date: 2021-04-09
TONGFANG KNOWLEDGE NETWORK TECH CO LTD (BEIJING)
View PDF0 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The classic collaborative filtering recommendation algorithm cannot be recommended because new users cannot get their interest preferences, and new recommended items cannot be recommended because there is no user evaluation. This is the cold start problem of collaborative filtering recommendation.

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
  • Personalized recommendation method based on multi-type academic achievement portraits and mixed recommendation strategy
  • Personalized recommendation method based on multi-type academic achievement portraits and mixed recommendation strategy
  • Personalized recommendation method based on multi-type academic achievement portraits and mixed recommendation strategy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the embodiments and accompanying drawings.

[0022] Such as figure 1 As shown, it is a personalized recommendation method based on multi-type academic achievement portraits and mixed recommendation strategies, including: profiling users and academic achievements, and adopting appropriate recommendation strategies for each academic achievement;

[0023] The portraits of users and academic achievements include user portraits, paper portraits, journal portraits, scholar portraits, subject portraits, and fund portraits; the user portrait is a tagged user model abstracted based on user behavior attribute information; specifically includes: Obtain the recent download record and retrieval record of the target user, then extract the user keyword according to some rules, and obtain the related words o...

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 personalized recommendation method based on multi-type academic achievement portraits and a mixed recommendation strategy. The personalized recommendation method comprises the following steps: adopting an appropriate recommendation strategy for users, academic achievements portraits and each academic achievement; wherein the user and academic achievement portraits comprise a user portrait, a paper portrait, a periodical portrait, a scholar portrait, a subject portrait and a fund portrait; and adopting appropriate recommendation strategies for each academic achievement, wherein the appropriate recommendation strategies comprise project-based collaborative filtering recommendation and content-based recommendation.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a personalized recommendation method based on multi-type academic achievement portraits and mixed recommendation strategies. Background technique [0002] With the vigorous development of academic research, academic achievements have shown a trend of substantial growth. Massive academic achievement resources have brought troubles to users. They cannot obtain the resources they really need from a large number of resources, which reduces the utilization rate of academic resources. And with the diversification and personalization of information, users' demand for academic resources is also gradually diversified and personalized. In this case, the user model is established according to the user's information and personal preferences, and the recommendation algorithm is used to recommend academic information for the user. In addition, the current research object of personalized re...

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): G06F16/9535G06F16/906G06K9/62G06N3/04G06N3/08
CPCG06F16/9535G06F16/906G06N3/049G06N3/088G06N3/045G06F18/22G06F18/23213G06F18/24155
Inventor 马红霞谢炜
Owner TONGFANG KNOWLEDGE NETWORK TECH CO LTD (BEIJING)
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