scholarly journals Research and Implementation of Electronic Commerce Intelligent Recommendation System Based on the Fuzzy Rough Set and Improved Cellular Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Bo Peng
Keyword(s):  
Electronic Commerce ◽  
Rough Set ◽  
Recommendation System ◽  
Information Overload ◽  
Fuzzy Rough Set ◽  
Practical Applications ◽  
Advantages And Disadvantages ◽  
The Status ◽  
The Difference ◽  
Browsing Behavior

With the continuous development of e-commerce, our society has transitioned from a mechanical era to an intelligent era. There have been many things that have subverted people’s traditional concepts, and they have also completely changed the way of life of modern people. Due to the development of e-commerce, people can enjoy the scenery and food from all over the world at home. Online shopping and online ticket purchase have greatly facilitated people’s lives and given people more choices. However, due to the excessive selection of things, there is also a phenomenon of information overload. Sometimes, it is difficult for people to find a product or content that they are very satisfied with. So, how to analyze people’s browsing behavior and predict what kind of content people want and how to push products on major websites have become a major issue facing major online companies. Based on this, this paper proposes an e-commerce intelligent recommendation technology based on the fuzzy rough set and improved cellular algorithm. It provides personalized recommendations for users based on their browsing history and purchase history. The research of this article is mainly divided into four parts. The first part is to analyze the status quo of technical research in this field. By analyzing the shortcomings of the existing technology, the concept of this article is proposed. The second part introduces the classic intelligent recommendation algorithm, including the principle and process of the fuzzy rough set and improved honeycomb algorithm, and analyzes the difference of various recommendation algorithms to illustrate the adaptability of each algorithm in practical applications and their respective advantages and disadvantages. The third part introduces an intelligent recommendation system based on fuzzy clustering, comprehensively analyzes the characteristics of users and commodities, makes full use of users’ evaluation information of commodities, and realizes intelligent recommendation based on content and collaborative filtering. At the end of the article, through comparative analysis experiments, the superiority of the intelligent recommendation system for electronic commerce based on the fuzzy rough set and improved cellular algorithm is further proved, and the accuracy of intelligent recommendation is improved.

E-Commerce Personalized Recommendation

2014 ◽  
Vol 989-994 ◽  
pp. 4996-4999 ◽  
Author(s):  
Yan Zhang
Keyword(s):  
Information Retrieval ◽  
Electronic Commerce ◽  
Association Rule ◽  
Information Overload ◽  
Rapid Development ◽  
Personalized Recommendation ◽  
Application Layer ◽  
Advantages And Disadvantages ◽  
Theory Research ◽  
Content Based Filtering

With the rapid development of electronic commerce, the problem of "information overload" leads to the difficulty that user can't search the required goods effectively , personalized recommendation technology has been applied in e-commerce and popularization. By using the method of qualitative analysis of the current e-commerce site, the paper compare the information retrieval, association rule, content-based filtering and collaborative filtering four main recommendation technologies and analysis the advantages and disadvantages in the application layer, the recommendation technologies are introduced to review e-commerce research hot topic in the field of personalized recommendation, and analysis the current domestic e-commerce personalized recommendation theory research and application status, finally propose the challenges faced by e-commerce personalized recommendation domain.

Commodity Recommendation System of E-Commerce Based on Classification Users

2014 ◽  
Vol 556-562 ◽  
pp. 6689-6692 ◽  
Author(s):  
Jie Chen
Keyword(s):  
Electronic Commerce ◽  
Recommendation System ◽  
User Needs ◽  
Single Strategy ◽  
The Difference ◽  
Recommendation Strategy

With the development of electronic commerce, commodity recommendation system of using a single strategy for all users has been unable to meet the needs of businesses and consumers. This paper proposed a commodity recommendation strategy of e-commerce based on classification users, e-commerce users are classified as new users, general users, Silver users and Gold users. According to the difference of users, the paper recommended using different methods to improve the efficiency of commodity recommendation system to better meet user needs.

scholarly journals The Legal status of international treaties in the Jordanian constitution and judiciary: مكانة المعاهدات الدولية في الدستور والقضاء الأردني

2021 ◽  
Vol 5 (24) ◽  
pp. 117-104
Author(s):  
Saddam Ibrahim Abdulkhaliq Abuazzam Saddam Ibrahim Abdulkhaliq Abuazzam
Keyword(s):  
Legal Status ◽  
International Treaties ◽  
National Assembly ◽  
Practical Applications ◽  
Legislative Authority ◽  
Executive Authority ◽  
The Status ◽  
The Difference ◽  
International Conventions

This descriptive analytical legal study aimed to clarify the position of international treaties in the Jordanian constitution and judiciary by shedding light on the theoretical trends that determined the status of international treaties in comparative legislation, in addition to verifying the constitutionality of the Jordanian side's signature on some international treaties that occupied Jordanian public opinion. The study revealed that the difference of international law jurists in determining the legal status of international treaties in constitutions and positive laws resulted in three directions: the trend of the unity of the two laws, the trend of the Dual-law, and the trend of reconciling the two laws. The study also showed that the Jordanian constitution did not adopt an explicit provision for the legal status of treaties. International conventions, leaving room for jurisprudential and judicial jurisprudence that affirmed the supremacy of international treaties over domestic law. The study also found that the Jordanian legislator’s neglect of determining the legal status of treaties, and the double signature of them by the executive authority alone or in combination with the legislative authority in accordance with two conditions under Paragraph B of Article 33 of the Jordanian Constitution, has opened the door wide for controversy over any treaty to be signed by the Jordanian side, To demonstrate this, the study mentioned practical applications from international treaties signed by Jordan, namely: the Israeli Gas Supply Agreement, the Casino Agreement, and the CEDAW Agreement. In light of the results were reached, the study presented a set of recommendations that were such as issuing a law for international treaties to regulate international treaties in all the stages through which they pass, adding a constitutional text confirming the oversight role of the National Assembly over international treaties, provided that this constitutional text includes informing the National Assembly of any treaty or agreement that is concluded by Jordan.

Advantages and Obstacles of Electronic Commerce in Sports Footwear

2018 ◽  
Vol 10 (3) ◽  
pp. 84-101
Author(s):  
Blaženka Knežević ◽  
Boris Šantić ◽  
Ivan Novak
Keyword(s):  
Electronic Commerce ◽  
Middle Age ◽  
Age Groups ◽  
Consumer Perception ◽  
Young Population ◽  
Specific Product ◽  
Secondary Sources ◽  
Advantages And Disadvantages ◽  
Two Generations ◽  
The Difference

The purpose of this article is to explore the perception of consumers regarding electronic commerce as a tool for sports footwear purchasing. Based on secondary sources, firstly, the authors define e-commerce and discuss its advantages and disadvantages. Then, the results of the empirical research are presented with the aim of (1) determining consumer perception of electronic commerce in the area of this specific product group, and (2) determining the difference between two generations of consumers. Two relevant age groups are compared: the younger population (18-39 years) and middle-aged consumers (40-59 years). The study was conducted on a sample of 202 respondents, of whom 110 are members of the young population and 92 are members of the middle age population. This research empirically confirmed that there are significant differences between generations when it comes to attitudes towards electronic commerce, thus this paper filling the existing gap in modern literature in retail and electronic commerce fields.

Advantages and Obstacles of Electronic Commerce in Sports Footwear

2021 ◽  
pp. 1182-1202
Author(s):  
Blaženka Knežević ◽  
Boris Šantić ◽  
Ivan Novak
Keyword(s):  
Electronic Commerce ◽  
Middle Age ◽  
Age Groups ◽  
Consumer Perception ◽  
Specific Product ◽  
Product Group ◽  
Secondary Sources ◽  
Advantages And Disadvantages ◽  
Two Generations ◽  
The Difference

The purpose of this article is to explore the perception of consumers regarding electronic commerce as a tool for sports footwear purchasing. Based on secondary sources, firstly, the authors define e-commerce and discuss its advantages and disadvantages. Then, the results of the empirical research are presented with the aim of (1) determining consumer perception of electronic commerce in the area of this specific product group, and (2) determining the difference between two generations of consumers. Two relevant age groups are compared: the younger population (18-39 years) and middle-aged consumers (40-59 years). The study was conducted on a sample of 202 respondents, of whom 110 are members of the young population and 92 are members of the middle age population. This research empirically confirmed that there are significant differences between generations when it comes to attitudes towards electronic commerce, thus this paper filling the existing gap in modern literature in retail and electronic commerce fields.

The Research of E-Commerce Personalized Recommendation

2014 ◽  
Vol 556-562 ◽  
pp. 6762-6765
Author(s):  
Yan Zhang ◽  
Tao Kuang
Keyword(s):  
Information Retrieval ◽  
Electronic Commerce ◽  
Association Rule ◽  
Information Overload ◽  
Rapid Development ◽  
Personalized Recommendation ◽  
Application Layer ◽  
Advantages And Disadvantages ◽  
Theory Research ◽  
Content Based Filtering

With the rapid development of electronic commerce, the problem of "information overload" leads to the difficulty that user can't search the required goods effectively , personalized recommendation technology has been applied in e-commerce and popularization. By using the method of qualitative analysis of the current e-commerce site,the paper compare the information retrieval, association rule, content-based filtering and collaborative filtering four main recommendation technologies and analysis the advantages and disadvantages in the application layer, the recommendation technologies are introduced to review e-commerce research hot topic in the field of personalized recommendation, and analysis the current domestic e-commerce personalized recommendation theory research and application status, finally propose the challenges faced by e-commerce personalized recommendation domain.

A Collaborative Filtering Recommendation Algorithm Based on Product Clustering

2012 ◽  
Vol 267 ◽  
pp. 87-90
Author(s):  
Pu Wang
Keyword(s):  
Electronic Commerce ◽  
Collaborative Filtering ◽  
Recommender Systems ◽  
Recommendation System ◽  
Information Overload ◽  
Personalized Recommendation ◽  
The Internet ◽  
Recommendation Algorithm ◽  
The Core ◽  
Intelligent Technology

E-commerce recommendation system is one of the most important and the most successful application field of information intelligent technology. Recommender systems help to overcome the problem of information overload on the Internet by providing personalized recommendations to the customers. Recommendation algorithm is the core of the recommendation system. Collaborative filtering recommendation algorithm is the personalized recommendation algorithm that is used widely in e-commerce recommendation system. Collaborative filtering has been a comprehensive approach in recommendation system. But data are always sparse. This becomes the bottleneck of collaborative filtering. Collaborative filtering is regarded as one of the most successful recommender systems within the last decade, which predicts unknown ratings by analyzing the known ratings. In this paper, an electronic commerce collaborative filtering recommendation algorithm based on product clustering is given. In this approach, the clustering of product is used to search the recommendation neighbors in the clustering centers.

Social Implications of E-Government

2018 ◽  
pp. 35-50
Author(s):  
Rimjhim ◽  
Vijay Kumar
Keyword(s):  
United Nations ◽  
Communication Technology ◽  
Short Review ◽  
Social Implications ◽  
Broad Definition ◽  
Advantages And Disadvantages ◽  
The Status ◽  
Information And Communication ◽  
The Difference ◽  
Delivery Models

With increased ICT (Information and Communication Technology), the day-to-day life is shifting online. E-government is one of the crucial parts of the developing world. This chapter contains a detailed introduction of e-government, which includes a broad definition, pillars, goals, stages, delivery models of e-government, advantages, and disadvantages. The difference between e-governance and e-government is also clarified. This chapter clears up the concept of e-government and how e-government can have impact on society. Next is the background section, which covers the research and surveys done by UN (United Nations) and other researchers in order to monitor and analyze the developments of e-government across different countries, social implications of e-government, requirements to develop a robust e-government, future scope of the e-government, etc. Finally, the direct and indirect implications of e-government are stated along with a short review of the status of e-government across a few countries.

Motivasi dan kepuasan kerja pegawai puskesmas BLUD dan non-BLUD Kabupaten Semarang

2018 ◽  
Vol 2 (3) ◽  
pp. 111
Author(s):  
Aswindar Adhi Gumilang ◽  
Tri Pitara Mahanggoro ◽  
Qurrotul Aini
Keyword(s):  
Public Health ◽  
Job Satisfaction ◽  
Financial Management ◽  
Work Motivation ◽  
P Value ◽  
The Public ◽  
The Status ◽  
The Difference ◽  
Demand For Health ◽  
Public Demand

The public demand for health service professionalism and transparent financial management made some Puskesmas in Semarang regency changed the status of public health center to BLUD. The implementation of Puskesmas BLUD and non-BLUD requires resources that it can work well in order to meet the expectations of the community. The aim of this study is to know the difference of work motivation and job satisfaction of employees in Puskesmas BLUD and non-BLUD. Method of this research is a comparative descriptive with a quantitative approach. The object of this research are work motivation and job satisfaction of employees in Puskesmas BLUD and non-BLUD Semarang regency. This Research showed that Sig value. (P-value) work motivation variable was 0.019 smaller than α value (0.05). It showed that there was a difference of work motivation of employees in Puskemas BLUD and non-BLUD. Sig value (P-value) variable of job satisfaction was 0.020 smaller than α value (0.05). It showed that there was a difference of job satisfaction of BLUD and non-BLUD. The average of non-BLUD employees motivation were 76.59 smaller than the average of BLUD employees were 78.25. The average of job satisfaction of BLUD employees were 129.20 bigger than the average of non-BLUD employee were 124.26. Job satisfaction of employees in Puskesmas BLUD was higher than non-BLUD employees.

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