Recommendation system and method

A recommendation system and recommendation method technology, applied in the network field, can solve problems such as low accuracy, sparse scoring data, and sparse scoring data sets, and achieve the effect of comprehensive factors considered and high accuracy

Inactive Publication Date: 2008-12-24
HUAWEI TECH CO LTD
View PDF0 Cites 86 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the process of realizing the present invention, the inventor found that the existing technology has at least the following defects: the two recommendation systems have the problem of low recommendation quality when the scoring data is sparse
Usually in an e-commerce website, the items purchased or rated by users account for only a limited percentage of the total number of items, resulting in a sparse data set of user ratings for items.
In the case of such a large amount of item data a...

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
  • Recommendation system and method
  • Recommendation system and method
  • Recommendation system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] figure 1 It is a schematic structural diagram of Embodiment 1 of the recommendation system of the present invention. The recommendation system includes a set to be recommended determination module 5, a score prediction module 6, a recommendation generation module 7 and a recommendation control module 8, wherein the set to be recommended determination module 5 is used to acquire target users A set of neighbor items of the scored item; and obtaining a set of items scored by the set of neighbor users of the target user, and calculating the intersection of the set of neighbor items and the set of items;

[0024] The recommendation control module 8 is used to call the set to be recommended determining module 5, score prediction module 6 and recommendation generating module 7 respectively when receiving the request of the target user, and the set to be recommended determining module 5 generates each item to be recommended , that is to determine the set of items to be recommen...

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 relates to a recommendation system and a method. The system comprises a determination module of a set to be recommended, a score forecasting module, a recommendation generation module and a recommendation control module. The method comprises the steps: a neighbor project set of scored project of target users and the scored project set of the neighbor users of the target users are obtained, and then the intersection of the neighbor project set and the project set is calculated so as to obtain the project set to be recommended; a forecasting score, made by the target users, of each project in the project set to be recommended is acquired; relevant project is recommended to the target users according to the forecasting scores. By taking projects and users into comprehensive consideration, various factors are considered more comprehensively, thus improving the accuracy of project recommendation.

Description

technical field [0001] The invention relates to network technology, in particular to a recommendation system and method. Background technique [0002] With the popularization of the Internet and the rapid development of e-commerce, the recommendation system has been widely used in various fields, and has become an important research content of information technology (IT) technology, and has received more and more attention. At present, almost all large-scale e-commerce systems, such as Amazon, CDNOW, eBay, Dangdang online bookstore, etc., use various forms of recommendation systems to varying degrees. [0003] A recommendation system is based on user-based collaborative recommendation, that is, according to the rating data of the nearest neighbors with similar ratings, recommendations are generated to target users. Another recommendation system is item-based collaborative recommendation, that is, item-based collaborative filtering recommendation, which relies on the similar...

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): G06F17/30G06Q30/00G06Q30/02
Inventor 刘伟张乐媛张彦邓智聪方琦
Owner HUAWEI TECH CO LTD
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