A recommendation algorithm and device based on collaborative filtering optimization

A collaborative filtering and recommendation method technology, which is applied in computing, instruments, electrical digital data processing, etc., can solve the problem of long data collection time, achieve reasonable recommendation, and overcome the effect of long data collection time

Active Publication Date: 2020-09-22
哈勃智远(北京)科技有限公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the purpose of the present invention is to propose a recommendation algorithm and device based on collaborative filtering optimization, which overcomes the problem of long data collection time in existing collaborative filtering algorithms and ensures the timeliness of news recommendations

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
  • A recommendation algorithm and device based on collaborative filtering optimization
  • A recommendation algorithm and device based on collaborative filtering optimization
  • A recommendation algorithm and device based on collaborative filtering optimization

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0039] It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are to distinguish two entities with the same name but different parameters or parameters that are not the same, see "first" and "second" It is only for the convenience of expression, and should not be construed as a limitation on the embodiments of the present invention, which will not be described one by one in the subsequent embodiments.

[0040] figure 1 It is a flowchart of a recommendation algorithm based on collaborative filtering optimization according to an embodiment of the present invention. The embodiment of the present invention proposes a recommendation algorithm based on collaborative filte...

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 recommendation algorithm based on collaborative filtering optimization. The algorithm comprises the steps of receiving a news recommendation application of a target user, estimating a first grade of unread basic news articles by the target user, sorting the unread basic news articles according to the first grade, and selecting a preset number of the unread basic news articles as a first-level recommendation list; calculating the similarity between the unread basic news articles and newly-introduced news articles in the first-level recommendation list, and establishingthe corresponding relationship of the unread basic news articles and the newly-introduced news articles in the first-level recommendation list; constructing a candidate recommendation list accordingto the first-level recommendation list and the corresponding relationship; calculating a second grade of each element in the candidate recommendation list, generating a second-level recommendation list according to the second grade, and sending the second-level recommendation list to the target user. The algorithm can not only tap the potential interest of users, but also ensure the timeliness ofnews, and promptly push the articles which the users are interested in to the users.

Description

technical field [0001] The present invention relates to the field of recommendation methods based on collaborative filtering, in particular to a recommendation algorithm and device based on collaborative filtering optimization. Background technique [0002] At present, the well-known user-based collaborative filtering recommendation algorithm uses the existing user behavior data to mine a small number of users with similar tastes to the target user from the massive data, making these users neighbors, and then according to what they like Organized into a sorted catalog to recommend to target users. However, there is a timeliness problem in news recommendation, which needs to be updated continuously. Collaborative filtering needs to collect user click log data over a long period of time to generate recommendations. The general news recommendation system cannot bear the time consumed by the accumulation of training data, and it is easy to delay the timeliness of news recommend...

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 Patents(China)
IPC IPC(8): G06F16/335G06F16/9536
CPCG06F16/335
Inventor 陈本庚刘芳彤周海汉陈杰方勇
Owner 哈勃智远(北京)科技有限公司
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