Green Product Retrieval and Recommendations System

2010 ◽  
pp. 379-400
Author(s):  
Yi-Chun Liao
Keyword(s):  
Data Mining ◽  
Information Retrieval ◽  
Information Management ◽  
Product Information ◽  
Information Management System ◽  
Information Retrieval System ◽  
Green Product ◽  
Green Products ◽  
Information Platform ◽  
Filtering Method

This chapter introduces a preference-based recommendation procedure in a green product information retrieval system. It constructs a green information management system based on data mining technology. Green products and relevant green regulations were collected and then integrated in a content-based and collaborative filtering method to provide a preference-based query interface for green products. It is hoped that the proposed system offers consumers a green information platform when they are considering buying green products. Our proposed system recommends the best possible choices for consumers that indicate a green preference. Besides serving as a green information retrieval for the consumers, the system also assists the product designers with understanding the preference some consumers have for green products and the satisfaction they get from buying these products.

Green Product Retrieval and Recommendations System

2011 ◽  
pp. 848-868 ◽  
Author(s):  
Yi-Chun Liao
Keyword(s):  
Data Mining ◽  
Information Retrieval ◽  
Information Management ◽  
Product Information ◽  
Information Management System ◽  
Information Retrieval System ◽  
Green Product ◽  
Green Products ◽  
Information Platform ◽  
Filtering Method

This chapter introduces a preference-based recommendation procedure in a green product information retrieval system. It constructs a green information management system based on data mining technology. Green products and relevant green regulations were collected and then integrated in a content-based and collaborative filtering method to provide a preference-based query interface for green products. It is hoped that the proposed system offers consumers a green information platform when they are considering buying green products. Our proposed system recommends the best possible choices for consumers that indicate a green preference. Besides serving as a green information retrieval for the consumers, the system also assists the product designers with understanding the preference some consumers have for green products and the satisfaction they get from buying these products.

Semantic Similarity Based on Ontology Technology and its Application in Mobile Information Retrieval for Product Design

2009 ◽  
Vol 419-420 ◽  
pp. 741-744
Author(s):  
Yong Jun Zheng ◽  
Zhong Ming Ren ◽  
Dai Zhong Su ◽  
Leslie Arthur
Keyword(s):  
Information Retrieval ◽  
Product Design ◽  
Retrieval System ◽  
Product Information ◽  
Collaborative Work ◽  
Communication Technologies ◽  
Information Retrieval System ◽  
Semantic Relationships ◽  
System A

With recent advances in wireless communication technologies, the world of mobile computing is flourishing with a variety of applications. This paper presents a mobile product information retrieval system that supports collaborative work among remote users. With the development of the system, a knowledge representation framework has been adopted which accommodates semantic relationships and similarity of product data. To illustrate the system developed, a case study in information retrieval for product design is presented．

The Practice of Optimization and Improvement of Human Resource Management Informatics in State Grid Company

2014 ◽  
Vol 687-691 ◽  
pp. 4674-4678
Author(s):  
Ben Wang ◽  
Yuan Ren ◽  
Jian Zhang ◽  
Yue Zhu Ma ◽  
Yu Wei Yin
Keyword(s):  
Information System ◽  
Resource Management ◽  
Human Resource Management ◽  
Information Management ◽  
Human Resource ◽  
Information Management System ◽  
Integration Scheme ◽  
Application Integration ◽  
Information Platform ◽  
Resource Information

We carry out research on the practice of optimization and improvement of human resource management informatics in State Grid Company, in order to improve human resource information harvest and enhance the depth and breadth of management. Being the creed file of the system, this paper describes the overall technology framework, deployment scheme and application integration scheme. The SG-ERP human resource information management system is an information platform that is transverse integration and lengthways transfixion, covering the whole business and staff. It also upgrades the scope of the human resource information system and the support capability, both interior and exterior information, for human resource operation.

scholarly journals Construction of Student Information Management System Based on Data Mining and Clustering Algorithm

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
XueHong Yin
Keyword(s):  
Data Mining ◽  
Genetic Algorithm ◽  
Information Management ◽  
Management System ◽  
Clustering Algorithm ◽  
Student Evaluation ◽  
Information Management System ◽  
Fuzzy Genetic Algorithm ◽  
Student Information ◽  
Fuzzy Genetic

Data mining is a new technology developed in recent years. Through data mining, people can discover the valuable and potential knowledge hidden behind the data and provide strong support for scientifically making various business decisions. This paper applies data mining technology to the college student information management system, mines student evaluation information data, uses data mining technology to design student evaluation information modules, and digs out the factors that affect student development and the various relationships between these factors. Predictive assessment of knowledge and personalized teaching decision-making provide the basis. First, the general situation of genetic algorithm and fuzzy genetic algorithm is introduced, and then, an improved genetic fuzzy clustering algorithm is proposed. Compared with traditional clustering algorithm and improved genetic fuzzy clustering algorithm, the effectiveness of the algorithm proposed in this paper is proved. Based on the analysis system development related tools and methods, in response to the needs of the student information management system, a simple student information management system is designed and implemented, which provides a platform and data source for the next application of clustering algorithm for performance analysis. Finally, clustering the students’ scores with a clustering algorithm based on fuzzy genetic algorithm, the experimental results show that this method can better analyze the students’ scores and help relevant teachers and departments make decisions.

scholarly journals Design of University Library and Information Management System Based on Big Data Fusion

2018 ◽  
Vol 232 ◽  
pp. 01010
Author(s):  
Jia Zhang
Keyword(s):  
Big Data ◽  
Information Retrieval ◽  
Data Fusion ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Recall Rate ◽  
Linux Kernel ◽  
University Library ◽  
The University

In order to improve the ability of library and information management in colleges and universities, and improve intelligent retrieval level of books, a design method of library information management system is proposed based on big data fusion. The phase space reconstruction technology is used to reconstruct the feature of library and information. The feature quantity of semantic concept set of library information is extracted, and the classification storage and information retrieval of library information is carried out by fuzzy clustering method. The adaptive training method is used for feature fusion, and big data fusion of library and information is realized in high dimensional feature space. The data processing center is set up under the Linux kernel environment, the application program of the university library information management system is developed under the Linux kernel, and the VXI bus technology is used to transmit and schedule the university library information management information and data. Realize the software development and design of the school library information management system. The test results show that the design of university library information management system with this method has good information storage and scheduling ability, and it improves the performance of library information retrieval. In the information recall rate and recall rate and other indicators performance has an advantage.

Data Mining technology as a tool for supporting analytical decision making process in Health Information Management System (HIMS)

2021 ◽  
Vol 5 (2) ◽  
pp. 139-147
Author(s):  
Gbenga Femi Asere ◽  
Dung Emmanuel Botson
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Information System ◽  
Strategic Management ◽  
Information Management ◽  
Management System ◽  
Clinical Decision Making ◽  
Information Management System ◽  
Decision Making Process ◽  
Mining Technology

Wide spread use of information system in the delivery of managed healthcare system and the challenges of identifying and disseminating relevant healthcare information, complex and diverse data and knowledge forms and tasks coupled with the prevalence of legacy systems require automated approaches for effective and efficient utilization of massive amount of data to support in strategic planning and decision-making and assist the strategic management mechanisms. Despite the fact that data mining is progressively used in information systems as a technology to support analytical decision making, it is however still barely used in hospital information system to support analytical decision making process. Hence, this paper presents the usefulness of data mining technology in Hospital Information Management System (HIMS). Data mining technology offered capabilities to increase the productivity of medical personnel, analyze care outcomes, lower healthcare costs, improve healthcare quality by using fast and better clinical decision making and generally assist the strategic management mechanisms.

The Application of Data Mining Technology in the Remote Open Management System

2014 ◽  
Vol 687-691 ◽  
pp. 1141-1144
Author(s):  
Mei Bai
Keyword(s):  
Data Mining ◽  
Quality Assessment ◽  
Information Management ◽  
Management System ◽  
Information Management System ◽  
Assessment System ◽  
Detailed Design ◽  
Mining Technology ◽  
Open Management ◽  
At Home

This paper introduces the concept of database and data mining, combined with management system of quality assessment system and method of data mining technology. In this paper, applying the data mining skill to the field of remote open management system, introduces the development of data mining in China and the necessity and importance of data mining in remote open information management system. This thesis analyzes the main problems in the remote open management system. On the basis of the relevant researches both at home and abroad, it presents the significance of the application of data mining in remote open management system. It analyzes the needs of the system based on data mining and presents a detailed design and implication of such a system.

Sign in / Sign up

Export Citation Format

Share Document