Distributed Recommender Systems

2001 ◽  
pp. 372-393 ◽  
Author(s):  
Badrul M. Sarwar ◽  
Joseph A. Konstan ◽  
John T. Riedl
Keyword(s):  
Data Analysis ◽  
Real Time ◽  
Recommender Systems ◽  
Recommender System ◽  
Design Issues ◽  
Internet Commerce ◽  
Basic Principles ◽  
Analysis Techniques

In this chapter, we introduce the concepts of recommender systems as a very successful Internet commerce tool. Then, we describe the basic principles of recommender systems and carefully analyzes how these systems relate to other prevailing data-analysis techniques and how they are more suitable for providing real-time personalized recommendations for customers of Internet commerce. The following section depicts the importance of recommender systems and their strategies for improving sales. We then analyze the nature and necessity of recommender systems in future commerce applications and establish the need for distributing such services to make them widely available. Later we present a detailed taxonomy of distributed recommender system applications and three different implementation frameworks for providing distributed recommender system services for Internet commerce, we analyze some of the design issues as well.

Aspect-Oriented Recommender Systems

2013 ◽  
pp. 55-72
Author(s):  
Punam Bedi ◽  
Sumit Kr Agarwal
Keyword(s):  
Decision Making ◽  
Recommender Systems ◽  
Recommender System ◽  
User Preference ◽  
Preference Learning ◽  
Decision Making Process ◽  
Design Issues ◽  
Aspect Oriented Programming ◽  
Multi Agent ◽  
Oriented Approach

Recommender systems are widely used intelligent applications which assist users in a decision-making process to choose one item amongst a potentially overwhelming set of alternative products or services. Recommender systems use the opinions of members of a community to help individuals in that community by identifying information most likely to be interesting to them or relevant to their needs. Recommender systems have various core design crosscutting issues such as: user preference learning, security, mobility, visualization, interaction etc that are required to be handled properly in order to implement an efficient, good quality and maintainable recommender system. Implementation of these crosscutting design issues of the recommender systems using conventional agent-oriented approach creates the problem of code scattering and code tangling. An Aspect-Oriented Recommender System is a multi agent system that handles core design issues of the recommender system in a better modular way by using the concepts of aspect oriented programming, which in turn improves the system reusability, maintainability, and removes the scattering and tangling problems from the recommender system.

Recommender Systems in Healthcare

2018 ◽  
pp. 323-346 ◽  
Author(s):  
Adekunle Oluseyi Afolabi ◽  
Pekka Toivanen
Keyword(s):  
Real Time ◽  
Recommender Systems ◽  
Recommender System ◽  
Evaluation Criteria ◽  
Upward Trend ◽  
Empirical Results ◽  
Care Giving

In this chapter the appropriateness of any recommender system in healthcare, which lies in its ability to provide capabilities for meeting the challenges of modern care giving, is examined. The impacts of over two decades of research in and implementation of recommender systems in healthcare are extensively examined in two consecutive periods: first to examine empirical results and practical implementations while the second focuses on validating the earlier findings and justifying the propositions made. Although the result indicates an optimistic progress and upward trend in both the research and implementation, there are compelling reasons to invest more efforts at harmonizing evaluation criteria and metrics. In addition, in order to appropriately, adequately, and effectively meet the challenges of modern care, the rapidly evolving trends, and changing technologies, a novel solution with potential for these capabilities is proposed: a solution to provide real-time recommendations and make them available for sharing among stakeholders in real time.

PENGARUH PERBAIKAN BERKESINAMBUNGAN TERHADAP KINERJA KARYAWAN (STUDI KASUS DI PT.RENTANG BUANA NIAGAMAKMUR TASIKMALAYA)

2019 ◽  
Vol 3 (1) ◽  
pp. 31-41
Author(s):  
Sri Sudiarti
Keyword(s):  
Data Analysis ◽  
Continuous Improvement ◽  
Research Method ◽  
Employee Performance ◽  
Sampling Technique ◽  
Positive Influence ◽  
Performance Criteria ◽  
Coefficient Of Determination ◽  
Analysis Techniques ◽  
Simple Regression

The objectives of this research are to know and to analyze about the effect of Continuous Improvement on the performance of employees at PT. Rentang Buana Niagamakmur (PT.RBN) Tasikmalaya. Research method which applied in this research is survey research method, while data collecting technique is done by through questionaire. Sampling technique applies sample is accidental sampling technique and the size sample is 55 respondents. Data analysis techniques used in the study is simple regression technique, analysis of the coefficient of determination  and t test. The results showed that the Continuous Improvement  including both criteria, including employee performance criteria, as well as Continuous Improvement  has a positive influence on employee performance of 76,4% in PT . Rentang Buana Niagamakmur (PT.RBN) Tasikmalaya.

INDONESIA LANGUAGE INTERFERENCE FORM IN BASIC PPL LEARNING THAILAND UNHASY COLLEGE SYUDENTS

2020 ◽  
Vol 8 (2) ◽  
pp. 38
Author(s):  
Siti Mariana Ulfa
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Collection ◽  
Teaching Practice ◽  
Data Presentation ◽  
Analysis Techniques ◽  
Thai Students ◽  
The Impact ◽  
Collection Methods ◽  
Recording Techniques

AbstractHumans on earth need social interaction with others. Humans can use more than one language in communication. Thus, the impact that arises when the use of one or more languages is the contact between languages. One obvious form of contact between languages is interference. Interference can occur at all levels of life. As in this study, namely Indonesian Language Interference in Learning PPL Basic Thailand Unhasy Students. This study contains the form of interference that occurs in Thai students who are conducting teaching practices in the classroom. This type of research is descriptive qualitative research that seeks to describe any interference that occurs in the speech of Thai students when teaching practice. Data collection methods in this study are (1) observation techniques, (2) audio-visual recording techniques using CCTV and (3) recording techniques, by recording all data that has been obtained. Whereas the data wetness uses, (1) data triangulation, (2) improvement in perseverance and (3) peer review through discussion. Data analysis techniques in this study are (1) data collection, (2) data reduction, (3) data presentation and (4) conclusions. It can be seen that the interference that occurs includes (1) interference in phonological systems, (2) interference in morphological systems and (3) interference in syntactic systems. 

PENGARUH KEPEMIMPINAN DAN MOTVASI KERJA TERHADAP KUALITAS PELAYANAN PUBLIK (STUDI KASUS PADA KANTOR KEMENTERIAN AGAMA SUNGAI PENUH )

2020 ◽  
Author(s):  
Pahrizal
Keyword(s):  
Data Analysis ◽  
Service Quality ◽  
Public Service ◽  
Random Sampling ◽  
Secondary Data ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Primary Data ◽  
Analysis Techniques ◽  
Intervening Variables

The research is proposed to test the influence of Leadership and Motivation Work on Public Service Quality. The population in this study was the Kantor Kementerian Agama Sungai Penuh who had received the last 1 year service at the Kantor Kementerian Agama Sungai Penuh, amounting to 260 people. Furthermore, by using the Slovin formula, a sample size of 158 people was chosen with a sampling technique based on Simple Random Sampling. This study uses primary data and secondary data. Data analysis techniques used are path analysis and hypothesis testing using t test with data analysis using SPSS version 20. The results of the study based on showing that partially the Leadership and motivation work have a positive and significant effect on Public Service Quality. The results also show that motivation work variables act as intervening variables between Leadership and Public Service Quality.

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