Service package recommendation method and system based on combinatorial semantic learning

A recommendation method and technology of a recommendation system, applied in semantic analysis, instruments, sales/lease transactions, etc., can solve problems such as inability to meet the complex needs of developers

Active Publication Date: 2020-08-14
SHANGHAI JIAO TONG UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Previous research often recommends a group of services with similar functions and requirements description for developers. The recommended services are sorted according to the similari

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
  • Service package recommendation method and system based on combinatorial semantic learning
  • Service package recommendation method and system based on combinatorial semantic learning
  • Service package recommendation method and system based on combinatorial semantic learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0048] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0049] A method for recommending service packages based on combined semantic learning provided by the present invention includes:

[0050] Step M1: collecting existing mashup applications and atomic services included in the mashup applications;

[0051] Step M2: Based on the collaborative relationship between the services used in the Mashup application, learn the combined semantics formed by the combination of atomic services, and build a semantic service package library;

[0052] Specifically, the ste...

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 service package recommendation method and system based on combinatorial semantic learning. The service package recommendation method comprises the steps: M1, collecting an existing Mashup application and atomic services contained in the Mashup application; M2, based on the cooperation relation between services used in Mashup application, learning combined semantics formedby combining atomic services together, and constructing a semantic service package library; and M3, recommending a group of complementary services around the semantic service package library, whereinthe group of complementary services completely covers the functional requirements of Mashup applications. According to the method, the combined semanteme of the service is discovered by mining the Mashup application natural language function description, the semantic service package library is formed, and the group of complementary services are recommended to the user around the semantic service package library so as to completely cover the function requirements as much as possible.

Description

technical field [0001] The invention relates to the technical field of networked service retrieval, in particular to a method and system for recommending service packages based on combined semantic learning. Background technique [0002] In the era of service economy, personalized services centered on user needs have attracted public attention because they can provide customized services for users with different needs. [0003] Combined service technology provides personalized solutions for users' needs. As an important technology of service computing, Mashup has become a popular method in the realization of composite services. There are already some composite service development tools for end-user development, which intuitively help developers use existing services to develop composite services with complex functions. Developers can quickly build Mashups with simple "drag and drop" operations on the interactive interface. Using development tools, non-professional develop...

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): G06Q30/06G06Q50/10G06F40/30G06K9/62
CPCG06Q30/0621G06Q30/0631G06Q30/0625G06Q50/10G06F40/30G06F18/23213Y02D10/00
Inventor 曹健
Owner SHANGHAI JIAO TONG UNIV
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