Newly Developed Nature-Inspired Algorithms and their Applications to Recommendation Systems

Author(s):  
Utku Köse

Because of their mathematical backgrounds and coherent structures, Artificial Intelligent-based methods and techniques are often used to find solutions for different types of problems encountered. In the related context, nature-inspired algorithms are also important for providing more accurate solutions. Because of their nature-based, flexible process structures, the related algorithms can be applied to different types of problems. At this point, recommendation systems are one of the related problem areas where nature-inspired algorithms can be used to get better results. In the literature there are many research studies that are based on using nature-inspired algorithms within recommendation systems. This chapter aims to discuss usage of some newly developed nature-inspired algorithms in typical recommendation systems. In this aim, features and functions of some new nature-inspired algorithms will be explained first. Later, using the related algorithms in recommendation systems will be discussed. Following that, there will be a discussion on future of nature-inspired algorithms and also their roles in the recommendation approach or system-based applications.

2019 ◽  
Vol 19 (3) ◽  
pp. 56-61
Author(s):  
Zhypargul Aydarova ◽  

The article offers an analysis of pedagogical conditions that contribute to the formation of reading skills of adolescent students. Pedagogical conditions consider goals, objectives, content, methods and types of organization of the process of training and education. Therefore, the concept of “pedagogical condition” can be understood as the choice of content, methods and techniques of teaching, their planning and implementation. The article reveals the content of the proposed three pedagogical conditions: 1) Accounting for different types of perception of student information in the learning process. 2) The use of different forms of reading. 3) Implementation of the methodological concept “Before reading - while reading - after reading”.


Author(s):  
George A. Sielis ◽  
Aimilia Tzanavari ◽  
George A. Papadopoulos

Recommender or recommendation systems are software tools that make useful suggestions to users, by taking into account their profile, preferences and/or actions during interaction with an application or website. They are usually personalized and can refer to items to buy, people to connect to or books/ articles to read. Recommender Systems (RS) aim at helping users with their interaction by bringing to surface the information that is relevant to them, their needs, or their tasks. This article's objective is to present a review of the different types of RS, the techniques and methods used for building such systems, the algorithms used to generate the recommendations and how these systems can be evaluated. Finally, a number of topics are discussed as envisioned future research directions.


Author(s):  
Lujing Yang ◽  
Ke Xing ◽  
David Ness

This paper proposes a model to represent the structure of different types of Product Service Systems (PSS). The model can fill the current research gap that different types of PSS cannot be represented by a unified expression. In current research studies, PSS is divided into three main categories and each type has different ways to be modelled. Designers have to develop different types of PSS through very different ways. The model is developed on a new concept of Virtual Product, which represent the PSS from a customer's viewpoint. Based on this concept, different types of PSS can be represented in a unified model.


2017 ◽  
Vol 5 (1) ◽  
pp. 3-7
Author(s):  
Виноградова ◽  
Natalya Vinogradova

The article considers the peculiarities of reading competence formation at lessons in primary school. The characteristics of different types of texts are given. According to the specificity of the content of school subjects the advice on the use of appropriate methods and techniques of formation by younger schoolboys of abilities to work with information and informative, instructive and reference texts is offered.


2019 ◽  
Vol 2 (1) ◽  
pp. 31-48 ◽  
Author(s):  
Henryk Dźwigoł

Findings from domestic and foreign literature analyses on the research methods and techniques applied in the management sciences confirmed the necessity to elaborate a certain procedure of selecting proper research methods, with consideration given to new management trends. With reference to the foregoing, the article presented qualitative studies (interviews, experts’ opinions) and quantitative ones (surveys) in order to diagnose the problem in a proper way by providing answers to five research hypotheses. As a result of the research effort, the anticipated goal of the article was achieved, i.e. the readers were presented with an elaborated procedure (Dźwigoł, 2018) of selecting the methods and techniques for the sake of the management-related research process, and with essential components of the research process used for designing the procedure in question. Since the research hypotheses were positively assessed, the author was able to present recommendations as to putting the procedures into practice, which were supported by a dedicated online tool. What is more, the achieved goal allowed not only to determine the application rate of the particular methods and techniques, or their combined versions, but also to identify certain rules as to recognising the research process in the present context and in terms of other variables, since the latter may influence whether the selected methods and techniques, related to the research subject in the context of management sciences, are essential. All foregoing steps were aimed at enhancing the reliability, quality and level of the research studies being carried out. Furthermore, it was recommended to perform further research studies aimed at verifying the adopted model and procedure of selecting research methods and techniques in the management sciences, especially in the practical context.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Boxuan Ma ◽  
Min Lu ◽  
Yuta Taniguchi ◽  
Shin’ichi Konomi

AbstractRecommendation systems need a deeper understanding of users and their motivations to improve recommendation quality and provide more personalized suggestions. This is especially true in the education domain, the more about the student is known, the more useful recommendations can be made. However, although many studies on the course recommendation exist, studies on the students’ course selection motivations in universities are limited. This study investigates the factors that contribute to students’ choice when selecting courses in universities to better understand student perceptions, attitudes, and needs and leverage data-driven approaches for recommending and explaining the recommendations in university environments. A qualitative interview for university students (N = 10) comprised of open-ended questions as well as a questionnaire for students (N = 81) was conducted, aiming to investigate the main reasons behind their choices. The results of this study show that students highly value the course contents and the benefits of the course towards their future careers. Furthermore, students are influenced by other reasons such as the possibility of obtaining a higher grade, the popularity of professors, and recommendations from peers. Next, we extract the main categories of students’ motivations and analyzed the questionnaire data by employing statistical analysis methods as well as the k-means clustering algorithm to identify different types of students in terms of course selection. Based on our findings, we discuss implications for designing more personalized course recommendation systems.


Author(s):  
Laura L. Pană

We live today in a partially artificial intelligent environment in which human intelligent agents are accompanied and assisted by artificial intelligent agents, continually endowed with more functions, skills and even competences, and having a more significant involvement and influence in the social environment. Therefore, artificial agents need to become and moral agents. Human and artificial intelligent agents are cooperating in various complex activities and thus they develop some common characteristics and properties. These features, in turn, are changing and progressing together with several increasing requirements of the different types of activities. All these changes produce a common evolution of human and artificial intelligent agents. Under these new conditions, human and artificial agents need and a shared ethics. Artificial ethics can be philosophically grounded, scientifically developed and technically implemented, it will be a more clear, coherent and consistent ethics, suitable for both human and artificial moral agents, and will be the first effective ethics.


Author(s):  
Jane Kenney ◽  
Ellen Newcombe

Research studies are discovering the importance of self-regulation for successful online learning. Self-regulation requires learners to be actively involved in the management of their learning and includes setting, monitoring, and evaluating learning goals, and making any necessary modifications to learning strategies (Zimmerman, 2008). This chapter discusses students' perceptions of the effectiveness of different types of learning supports that the authors used in a blended, flipped undergraduate education course to help students with self-regulation. The perceptions of high and low self-regulated students are compared and recommendations made about what supports to include when designing an online course to ensure successful learning.


2016 ◽  
Vol 4 (6) ◽  
pp. 3-6
Author(s):  
Виноградова ◽  
Natalya Vinogradova

The article considers the peculiarities of reading competence formation at lessons in primary school. The characteristics of different types of texts are given. According to the specificity of the content of school subjects the advice on the use of appropriate methods and techniques of formation by younger schoolboys of abilities to work with information and informative, instructive and reference texts is offered.


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