E-Commerce Recommending Model Based on Trust Community

2014 ◽  
Vol 543-547 ◽  
pp. 4251-4257
Author(s):  
Xu Dong Zhao ◽  
Shao Zhong Zhang ◽  
Hai Dong Zhong ◽  
Shi Feng Weng
Keyword(s):  
Information Overload ◽  
Time Effect ◽  
New Approach ◽  
Trust Value ◽  
Current Information ◽  
Model Based ◽  
User Clustering ◽  
Evaluation Information ◽  
Trusted Neighbors

To responses to the current information "overload" problem widespread in e-commerce systems, a new approach, using the method of user clustering, node trust value analyzing and product evaluating is put forward to build an e-commerce trust community for e-commerce recommendation. According to some of the most trusted neighbors` evaluation information for goods, the recommendation model predicts the score of goods that the users have purchased, to recommend items which have a higher value score, to a customer. In the proposed recommending algorithm, the time effect of recommendation is taken into consideration to provide effective recommending services for users.

Pairwise Conjoint Analysis of Activity Engagement Choice

10.1068/a3267 ◽  
2000 ◽  
Vol 32 (5) ◽  
pp. 805-816 ◽  
Author(s):  
Donggen Wang ◽  
Harmen Oppewal ◽  
Harry Timmermans
Keyword(s):  
Conjoint Analysis ◽  
Information Overload ◽  
Design Strategy ◽  
Choice Models ◽  
New Approach ◽  
Activity Engagement ◽  
Conjoint Choice ◽  
Attribute Levels ◽  
Preference Models ◽  
Modelling Approach

Information overload is a well-known problem of conjoint choice models when respondents have to evaluate a large number of attributes and/or attribute levels. In this paper we develop an alternative conjoint modelling approach, called pairwise conjoint analysis. It differs from conventional conjoint choice and preference models in that the attributes of choice alternatives or choice contexts are not varied simultaneously, but in pairs. Properties of the design strategy are discussed. The new approach is illustrated by using activity engagement choice as an example.

scholarly journals A New Approach to Multiple Fault Diagnosis: A Combination of Diagnostic Matrices, Graphs, Algebraic and Rule-Based Models. The Case of Two-Layer Models

2008 ◽  
Vol 18 (4) ◽  
pp. 465-476 ◽  
Author(s):  
Antoni Ligęza ◽  
Jan Kościelny
Keyword(s):  
Fault Diagnosis ◽  
Simultaneous Occurrence ◽  
Diagnostic Model ◽  
Rule Based ◽  
New Approach ◽  
Multiple Fault ◽  
Multiple Faults ◽  
Model Based ◽  
Multiple Fault Diagnosis ◽  
System Variables

A New Approach to Multiple Fault Diagnosis: A Combination of Diagnostic Matrices, Graphs, Algebraic and Rule-Based Models. The Case of Two-Layer ModelsThe diagnosis of multiple faults is significantly more difficult than singular fault diagnosis. However, in realistic industrial systems the possibility of simultaneous occurrence of multiple faults must be taken into account. This paper investigates some of the limitations of the diagnostic model based on the simple binary diagnostic matrix in the case of multiple faults. Several possible interpretations of the diagnostic matrix with rule-based systems are provided and analyzed. A proposal of an extension of the basic, single-level model based on diagnostic matrices to a two-level one, founded on causal analysis and incorporating an OR and an AND matrix is put forward. An approach to the diagnosis of multiple faults based on inconsistency analysis is outlined, and a refinement procedure using a qualitative model of dependencies among system variables is sketched out.

scholarly journals Application of Model-Based Tests for Analysing the Consequences of Mine Fires

2018 ◽  
Vol 1 (1) ◽  
pp. 767-774
Author(s):  
Magdalena Tutak
Keyword(s):  
Fire Hazard ◽  
Physical Parameters ◽  
Gas Mixture ◽  
New Approach ◽  
Model Based ◽  
Underground Coal Mines ◽  
Mine Fires ◽  
Underground Mine Workings ◽  
The Subject ◽  
Chemical Products

Abstract One of the most common and most dangerous hazards in underground coal mines is fire hazard. Mine fires can be exogenous or endogenous in nature. In the case of the former, a particular hazard is posed by methane fires that occur in dog headings and longwalls. Endogenous and exogenous fires are large hazard for working crew in mining headings and cause economics losses for mining plants. Mine fires result in emission of harmful chemical products and have a crucial impact on the physical parameters of the airflow. The subject of the article concerns the analysis of the consequences of methane fires in dog headings. These consequences were identified by means of model-based tests. For this purpose, a model was developed and boundary conditions were adopted to reflect the actual layout of the headings and the condition of the atmosphere in the area under analysis. The objective of the test was to determine the effects of methane fires on the chemical composition of the atmosphere and the physical parameters of the gas mixture generated in the process. The results obtained clearly indicate that fires have a significant impact on the above-mentioned values. The paper presents the distributions for the physical parameters of the resulting gas mixture and the concentration of fire gases. Moreover, it shows the distributions of temperature and oxygen concentration levels in the headings under analysis. The methodology developed for the application of model-based tests to analyse fire events in mine headings represents a new approach to the problem of investigating the consequences of such fires. It is also suitable for variant analyses of the processes related to the ventilation of underground mine workings as well as for analyses of emergency states. Model-based tests should support the assessment of the methane hazard levels and, subsequently, lead to an improvement of work safety in mines.

PENGEMBANGAN SISTEM INFORMASI EVALUASI LAYANAN AKADEMIK UNTUK INSTITUT TEKNOLOGI KALIMANTAN

JURTEKSI ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 35-40
Author(s):  
Rosa Eliviani ◽  
Lovinta Happy Atrinawati ◽  
Tegar Palyus Fiqar
Keyword(s):  
Higher Education ◽  
Information System ◽  
System Building ◽  
Model Based ◽  
Academic Activities ◽  
Analysis Design ◽  
Waterfall Model ◽  
Institute Of Technology ◽  
Evaluation Information

Abstract: Higher Education can exercise management autonomy, that is to evaluate using an information system independently. The case study taken in this study is the Kalimantan Institute of Technology (ITK). So far, ITK has used a survey information system to evaluate ITK, but the information system is static so that it is not following the current needs of ITK. Based on that, this research is developing an evaluation information system at ITK so that this information system is expected to be able to monitor and evaluate the process of activities at ITK. The method used is the waterfall model. Based on the waterfall method, the methodology used in this research is start from the identification of the problem, then study the literature and enter the system building stage, namely the analysis, design, implementation and testing stages, as well as conclusions and suggestions. The results obtained are in the form of an information system for evaluating academic activities and services that have been approved by ITK on the http://evaluasi.itk.ac.id page.            Keywords: evaluation; information system; ITK  Abstrak: Perguruan Tinggi memiliki kemampuan untuk melaksanakan otonomi pengelolaan yaitu dievaluasi secara mandiri menggunakan sistem informasi. Studi kasus yang diambil pada penelitian ini adalah Institut Teknologi Kalimantan (ITK). Selama ini ITK telah menggunakan sistem informasi survey untuk mengevaluasi ITK, namun sistem informasi tersebut bersifat statis sehingga telah tidak sesuai dengan kebutuhan ITK saat ini. Berdasarkan hal itu, penelitian ini adalah mengembangkan sistem informasi evaluasi di ITK sehingga diharapkan sistem informasi ini dapat memantau dan mengevaluasi proses kegiatan di ITK. Metode yang digunakan adalah waterfall model. Berdasarkan metode waterfall tersebut, maka metodologi yang digunakan pada penelitian ini dimulai dari identifikasi masalah, kemudian studi literatur dan memasuki tahap membangun sistem yaitu tahap analisis, desain, implementasi dan pengujian, serta kesimpulan dan saran. Hasil penelitian yang diperoleh adalah berupa sistem informasi evaluasi kegiatan akademik dan layanan yang telah disetujui ITK di halaman http://evaluasi.itk.ac.id. Kata kunci: evaluasi; sistem informasi; ITK

eWOM

2019 ◽  
pp. 143-173 ◽  
Author(s):  
Juan Pedro Mellinas ◽  
Sofía Reino
Keyword(s):  
Information Overload ◽  
Online Reviews ◽  
Influential Factors ◽  
Online Review ◽  
Hotel Management ◽  
Crucial Aspect ◽  
New Approach ◽  
Tourism Professionals ◽  
Hotel Managers ◽  
Dynamic Relationships

It is difficult to find a traveler who has not written and/or read an online review at any stage of their travel. Most people will not book a hotel if this has no reviews and/or will not choose a destination before reading some opinions from other users. Tourism professionals can gain a comprehensive understanding of the dynamic relationships and key influential factors which are relevant to online reviews. A single business can have thousands of reviews. This creates a situation of information overload for hotel managers, who encounter themselves with increasingly larger numbers of information to analyze and act upon. The ability to effectively analyze data, using in occasions dedicated software becomes a crucial aspect of hotel management. The chapter ends with a reflection on how eWOM is leading to the generation of a new approach to business management.

scholarly journals Improving Model-Based Genetic Programming for Symbolic Regression of Small Expressions

2020 ◽  
pp. 1-27 ◽  
Author(s):  
M. Virgolin ◽  
T. Alderliesten ◽  
C. Witteveen ◽  
P. A. N. Bosman
Keyword(s):  
Genetic Programming ◽  
Real World ◽  
Symbolic Regression ◽  
New Approach ◽  
Model Based ◽  
Real World Datasets ◽  
Linkage Learning ◽  
Optimal Mixing ◽  
Crucial Parameter

The Gene-pool Optimal Mixing Evolutionary Algorithm (GOMEA) is a model-based EA framework that has been shown to perform well in several domains, including Genetic Programming (GP). Differently from traditional EAs where variation acts blindly, GOMEA learns a model of interdependencies within the genotype, that is, the linkage, to estimate what patterns to propagate. In this article, we study the role of Linkage Learning (LL) performed by GOMEA in Symbolic Regression (SR). We show that the non-uniformity in the distribution of the genotype in GP populations negatively biases LL, and propose a method to correct for this. We also propose approaches to improve LL when ephemeral random constants are used. Furthermore, we adapt a scheme of interleaving runs to alleviate the burden of tuning the population size, a crucial parameter for LL, to SR. We run experiments on 10 real-world datasets, enforcing a strict limitation on solution size, to enable interpretability. We find that the new LL method outperforms the standard one, and that GOMEA outperforms both traditional and semantic GP. We also find that the small solutions evolved by GOMEA are competitive with tuned decision trees, making GOMEA a promising new approach to SR.

Research on User Clustering of Recommended System Based on Fuzzy Clustering

2014 ◽  
Vol 513-517 ◽  
pp. 1540-1544
Author(s):  
Li Hua Zhang ◽  
Wei Liu
Keyword(s):  
Fuzzy Clustering ◽  
Clustering Analysis ◽  
Recommendation System ◽  
Information Overload ◽  
Fuzzy Clustering Analysis ◽  
User Clustering ◽  
Objective Classification ◽  
Distance Education System ◽  
High Quality Service

Today's society is a society of information explosion, the popularity of the Internet and development bring a lot of convenience to people, people can easily get a lot of information on the network, however, facing so many information, people prone to the problems of "information overload" and "resources disorientation. Therefore, the recommended system came into being, the recommendation system can provide people with the most in need and most concern to avoid the time of the search and comparison. This article intends to use the very mature recommendation system in the field of electronic commerce to distance education system and promotes personalized learning, shifting the traditional "what teachers teach, what students receive" to "what the students need, what the system provides, which is consistent of constructivism study philosophy. The analysis of users interested as the basis of the recommendation system, users clustering is very important, the objective classification of fuzzy clustering analysis can recommend for users to enjoy high-quality service.

Model-Based Development Process of Cybertronic Products and Production Systems

2014 ◽  
Vol 1018 ◽  
pp. 539-546 ◽  
Author(s):  
Hermann Meissner ◽  
Marcel Cadet ◽  
Nicole Stephan ◽  
Christian Bohr
Keyword(s):  
Development Process ◽  
Production Systems ◽  
Product Lifecycle Management ◽  
Mechatronic Systems ◽  
New Approach ◽  
Model Based ◽  
Open Networks ◽  
Development Processes ◽  
Faster Development ◽  
Lifecycle Management

The shift to satisfied customer markets forces manufacturers to offer customised products. Moreover, product lifecycles are shortened, which requires a faster development of products and corresponding production systems. Both challenges amplify complexity in production. This complexity is usually confronted with flexibility. A new approach offering decentralised structures, and thereby flexibility, comes from cybertronic systems (CTS), which are further developed mechatronic systems with the capability to communicate through open networks with other such mechatronic systems. Up to now no integrated development process to engineer cybertronic products (CTP) and production systems (CTPS) has been developed, although such a process is essential to use their beneficial properties for today’s market conditions. Therefore, research is conducted in the research project mecPro². First, the properties of cybertronic systems are investigated and dissociated from those of mechatronic systems. Based on these properties, the connections of CTP and CTPS are analysed and a systematics for description for both is identified. With this the model-based development processes of CTP and CTPS can be further defined as well as their intersections and afterwards implemented in a data model. Finally, the development process is summarised in a product lifecycle management software to support the development process.

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