Reviewerly/exHarmony huggingface dataset:
Highly Recommended: Collaborative Filtering Gives Customers What They Want

Netflix Top Picks, Amazon recommendations, the iTunes Genius button. They all have one thing in common: they are driven by clever algorithms that use a technique known as collaborative filtering. Often used in machine learning operations, collaborative filtering is the process by which a firm like Netflix generates predictions about a single user's preferences using data taken from a large number of users. This technical note offers an overview of three of the main collaborative filtering methods: slope one, a purely predictive nonparametric model; ordinal logit, a parametric regression model; and alternative least squares, a matrix factorization technique. Excerpt UVA-M-0974 Aug. 23, 2019 Highly Recommended: Collaborative Filtering Gives Customers What They Want You're ready to Netflix and chill. You pull up your browser and scroll through the new releases on Netflix.com. Nothing looks interesting. You turn your attention to the recommended titles, the “Top Picks” selected just for you. And there it is—the classic film you'd forgotten you wanted to see but has always been at the top of your to-watch list. Netflix Top Picks, Amazon recommendations, the iTunes Genius button. They all have one thing in common: they are driven by clever algorithms that use a technique known as collaborative filtering. . . .
Digitalization And The Problem Of Changing The Request For Professions

This research is based on the hypothesis that the digital world cardinally changes the system of values, the status of high-profile professions and priorities in forms of employment chosen by university students. The research covers the period of 2017- 2020 which is to a high extent associated with the introduction of information technologies in the education process, distant forms of knowledge acquisition. In this context, it is now obvious that students are forming a request for competencies that will be in demand in the labor market, but at the same time will ensure the quality of life – stability, appropriate living standards, social status, free choice of profession, organization of personal time and space, which is largely associated with the availability of remote forms of employment. At the same time, on the basis of digital technologies, in the conditions of global instability and rising economic and social risks, the labor market is bringing itself up to date, putting forward requests for new competencies, possible areas and forms of involvement of specialists in the working process, in particular, the segment of teleworking. The analysis of empirical data allowed us to identify approaches to creating an objective image of the labor market in the youth environment, forming an appropriate professional potential of students on the basis of well-built practice-oriented competences, developed adaptive qualities and creativity. The study defines the ratio and the roles of the teacher and the IT component in this process.
An Analysis Of Morphological Error In English Word Formation Process Made By The Third Semesrter Students Of English Education Department Madura Islamic University

This research begins from the observation at teaching and learning process of English language as foreign language especially at the English Morphology class, the researcher found some students’ problems related to the analyzing of English word formation process through tree diagram. They felt difficulties in analyzing English word formation process particularly in combining prefixes and suffixes.  In this research, the researcher used descriptive qualitative which is the objective to describe the morphological error in analyzing the English word formation. The subject of this research is the third semester students of academic year 2018/2019 at English Education Department FKIP Madura Islamic University. In collecting the data, the researcher used the test and document study. The result of the research, the students understand well the function of every affixes in English word formation process but they made some errors in analyzing English word formation in multi word formation processes especially in combining prefix and suffix, derivational affix and inflectional affix. Keywords: Word Formation, prefixes, suffixes.
Definition and Characteristics of Modern Japanese “typed language” : In Parallel with Analysis of “typed language” Through Crawling of “Twitter”

In this paper, we conducted a diachronic study on the “typed language” by crawling data on “Twitter”, a representative SNS that is commonly used by Japanese. The definition and characteristics of “typed language” have been clarified through this consideration, and the details are as follows. First, the comparison method of “spoken language” and “written language” was applied in the definition of “typed language”. Therefore, the “typed language” was divided into “media” and “situation”, and the “typed language” was considered. As a result, this paper defined that “typed language” is a word that appears in text chat or text input on a digital medium connected to a network. Besides, “typed language” has been classified into “typed language of chatting” and “typed language of technology-dependent”. In more detail, the definition of the word “typed language” in a text conversation made over a network is valid, and the term “typed language of chatting” is defined. Meanwhile the act of “typing” is mainly used for text by electronic characters. Therefore, a new language that is different from “spoken language” as well as “written language” is born. In the background, there are unique circumstances in which the multi-layered structure of the notation (kanji, hiragana, katakana, roman characters, etc.) and original digital character input methods (such as keyboards of PCs and smartphones, Tenki of smartphones, etc.) are combined. In this paper, this term is defined as “typed language of technology-dependent”. The “typed language” originated from PC communication from the 1980s to the 1990s, and was widely used for “pagers” and “cell phone mail” in the 1990s. And now it appears a lot on social media. By the way, because “typed language” is a conversation through text, it lacks non- language communication means or paralanguage expression information. Therefore, alternative means such as emoticons (images and texts), emojis, and symbols were introduced. Among them, in the SNS of the messenger series such as “LINE”, the characteristic of “chat input word” is high. Also, in the SNS of writing type electronic bulletin boards such as “Twitter”, the characteristics of “typed language of chatting and “typed language of technology-dependent” are appearing simultaneously.
Big Data Analysis Impact of Sensor Values on Indoor Smart Farming For Plant Growth's Prediction

Indoor Smart Farming design is one of the solutions for the food needs on a small scale,especially during the difficult conditions such as the COVID-19 pandemic. By applying IoT and somesemi-automatic control to the planting area, it is hoped that users will be easier to monitor their plants.Visualization of monitoring can be seen through the websites that are supported by desktop PC andAndroid-based microcontroller so that through multiple sensing data uploaded to the storage devices, itcan easily detect the growth status if there are any deviations.IoT sensor support for monitoring indoor smart farming assistant covers temperature, air humidity, soilmoisture, lighting, and CO2 measurements. The monitoring assistant is also equipped with pictures takingof the plants so the plant's development can be observed. The aim for this indoor smart farming is the bigdata analysis for the sensor's reading values, including the results of image processing, that support forthe visualization of the growth of plant growth from cultivation to harvesting. For small scale indoorsmart farming, this is important for users to easily see the conditions of the plant growth charts andmeasurement until the plant is ready to harvest. Plant growth until crop time can be predicted with thesensor's data captured and analyzed.
Iterated and Ground-Floor Cognition, KK and K¬K Arguments and Empirical Studies

A distinction between Cartesian knowers (who are capable of all forms of metacognition) and ground-floor cognizers are drawn. B.B., a virtual ground-floor cognizer, is extensively described: what it knows, what it doesn’t know, and what concepts can be attributed to it. The fragmented nature of iterated cognitions is described. That deduction need not require metacognitions of any sort is described: in successfully deducing q from p, an agent need not recognize or appreciate that she is using propositions, that she is using a rule (modus ponens), or that she is justified. A psychological study of deduction is described, and how it fails to illustrate metacognition is illustrated. The apparent ineffability of metacognition in nonhuman animals is discussed. A single anecdotal case of metacognition in chimpanzees is given, and an implicit knowledge generalization is attributed to the animals on the basis of this case. The use of Morgan’s canon is rejected.
Current university, from traditional teaching to learning through STEAM

This article was developed at the Polytechnic School of Chimborazo in the city of Riobamba, Ecuador, in order to determine the students’ perception of the teaching model through STEAM approach to academic achievement in today's university. The materials and methods are in the context of the positivist paradigm, a quantitative investigation has been carried out, and an instrument with a Likert-type scale was applied to a sample of fifty (50) people.  Students of the Graphic Design degree, namely: Fifth, Sixth and Ninth semester. In two moments: a pre-test phase, which involved the traditional teaching model and a post-test phase, through activities under the STEAM approach with tools made possible by the STEAM Thinking Lab. The results obtained indicated that the students preferred the activities that involved inquiry as a means of learning with the use of digital development devices such as those found in the STEAM Thinking laboratory in 66%. In addition, they showed preference for teaching techniques such as those applied through the STEAM teaching model by 54%. Finally, 60% to 90% of students were approved in the post-application evaluations of the inquiry education scheme.
Research & Subject Guides: Scholarly Communications Services for Researchers: Open Access Week 2020 Resources

Supporting the creation, evaluation, dissemination, and preservation of the University's scholarly output
A secure, distributed and scalable infrastructure for remote generation and use of cryptographic keys

This paper outlines an ad-hoc architectural design and a practical implementation of a secure, distributed, fault tolerant and scalable infrastructure comprised of a distributed network of electronics hardware systems that remotely generate cryptographic keys, store them, digitally sign cryptographic transactions based on such keys, and record the transactions on a blockchain. The proposed solution is suitable to service both crypto-finance and non-finance applications, and the physical infrastructure is designed to be implemented using off-the-shelf industrial electronics, which further sustains the already scalable-by-design infrastructure architecture.
A moving vehicles extraction method in Satellite Videos

With the continuous innovation of optical remote sensing technology and the increasing demand for spatial information, satellite videos, which can provide higher spatial and temporal resolution, have been paid a lot of attention. And moving vehicles extraction in satellite videos is one of the most important tasks. By analyzing the shortcomings of current satellite video moving vehicles extraction algorithms, and combining with the characteristics of satellite videos and moving vehicles, this paper proposes an algorithm to extract moving vehicles in satellite videos, that some vehicles are firstly separated from the background by using image extreme points and mean differences, and then the moving vehicles are extracted by joint detection of inter-frame vehicles motion. At the same time, based on the extracted moving vehicles, we also propose a method that can extract road masks by using only three frames. Finally, we use Jilin-1 satellite video data to prove the proposed methods in the experiment. And also this paper has compared the propose methods with another two algorithms, where the results show that the proposed methods greatly improve the accuracy and quality of moving vehicles detection in satellite videos.
POLITICAL DISCOURSE CONTENT ANALYSIS: A CRITICAL OVERVIEW OF A COMPUTERIZED TEXT ANALYSIS PROGRAM LINGUISTIC INQUIRY AND WORD COUNT (LIWC)

The article examines and analyzes the linguistic and psychological features of political discourse using a computer-based Linguistic Inquiry and Word Count (LIWC) content analysis program to explore the relationship between political discourse and the personality of politicians. As for political discourse, it is perhaps the communicator, the linguistic personality, who plays the most important role in the communication. The linguistic personality of a politician is of particular interest in political discourse content-analysis, since it has the greatest influence on the public consciousness via mass media. Using text as a source of psychological and cognitive information has been gaining popularity. Researchers use a variety of methods to analyze texts, but Linguistic Inquiry Word Count (LIWC) has proved to be the most common technique. The analysis of linguistic patterns of political discourse shows that in the context of political speech events such as media interviews, politicians make a unique choice of lexical units, which can be interpreted as a manifestation of certain personality traits. However, despite the significance of the results, there are clear limitations to the use of computerized methodologies to make political discourse content-analysis, such as the limited interpretive capacity of software to understand pragmatic and contextual use of lexical units.
PRIMARY TEACHERS’ CODE-SWITCHING IN EFL CLASSROOMS

Teaching English has never been easy especially for countries where English is a foreign language. It becomes more challenging if the learners are primary students because their English proficiency is low. Therefore, primary teachers are required to have appropriate teaching methods for them. Code-switching is considered one of teaching methods which is adopted by primary teachers frequently in the classroom. It not only assists teachers in teaching but also in classroom management effectively. Thus, research is conducted to find out functions of CS as well as to the reasons why primary English teachers use it in their classroom. This research is qualitative research. The participants of this study are English teachers who are teaching at primary schools in the Mekong Delta. The instruments of this study were observation, audio-recording, and interview. The results showed that CS was actually used a lot by primary English teachers in their classroom. However, code-switching serve their teaching most. Teachers also admitted that it provided great support for them in teaching such as helping students understand the lesson better and saving time. This study is expected to benefit EFL teachers, especially those who are teaching English for primary schools in general and for young learners in particular. Furthermore, it enables primary EFL teachers to have insights into the functions of CS as well as when it is used in teaching practices. In addition, primary EFL teachers are expected to have critical thinking of the CS and make suitable choices in applying CS effectively.&#x0D; &#x0D; &lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/edu_01/0766/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
License to Code

Recent insider reports note the rise of social media technology coded to exploit human attention with built-in addictive features. Other reports show the negative consequences of software deployed in the employment, criminal justice, and medical fields when due attention has not been paid to minority interests. From the normative approach of Rawlsian justice, this Article argues for professional rules which demand that all tech be designed behind “a veil of ignorance,” thus privileging design choices that aim for the greater good. The Article examines the legal history of professional responsibility rules for doctors and lawyers to make the argument that, software coding has a similar impact on human life and thus should be governed by stricter professional rules with teeth, rather than merely voluntary codes of ethics. Although it is noted that some software coding could be considered artistic work, and thus subject to First Amendment guidelines protecting freedom of speech, the Article carves out for greater legal scrutiny a genre for coded tech which are deployed in a primarily commercial or governmental manner and which have the potential to touch on the lives of many people. Attaching concrete legal repercussions to the development of exploitative tech, such as, loss of license to code, monetary fines, and potentially, loss of liberty will guard against the erosion of democracy and prevent the rise of a technocracy.
테러 발생 시 국가 수사권 운용 검토 -미국을 중심으로-

Although information and criminal investigation activities should be put in place in counter-terrorism activities, South Korea has relatively few legal, institutional, and enforcement issues related to the operation of national investigation rights when terrorism occurs. Empirically, in the case of South Korea, there are no direct terrorist attacks, and there are quite a few views of North Korea's provocation to the South as a military provocation rather than a terrorist attack. Recently, it is necessary to clarify the viewpoint of looking at North Korea even if we look at actions such as the sudden interruption of communications by North Korea and the redevelopment of large ballistic missiles. It is time to discuss institutional and enforcement guidelines. This research looks at US terrorism-related institutional patriotism conspiracy law, RICO law, and AEDPA law to get to know the investigation procedures, methods and cases of the relevant departments, and to look at North Korea. It has to be clarified. For example, when looking at the current North Korean provocation, not by military provocation, but by terrorism, he looked at the applicable laws, and provided suggestions as to what cases could be applied as references. Therefore, in this paper, through the case of the United States, we searched for new suggestions that could be applied to the domestic case.
PERANCANGAN PERANGKAT LUNAK VISUALISASI ALGORITMA GREEDY

Visualization Software Design Greedy Algorithm is a depiction planning of software with engineering in making images, diagrams or animations to display an information in the form of a logical and systematic arrangement to solve a problem by finding the optimum solution.  The goal is to create a visualization software design program that can optimize the preparation of goods in containers and their completion steps so as to facilitate problem solving, especially in real life. Greedy algorithm to solve the problem step by step or step by step, that every step will take the best option which can be obtained at the time ata get a solution quickly on the same day. The Greedy Algorithm will be used to find the optimum solution for the preparation of goods in containers that will get the most optimal results especially to reduce empty space. Goods are arranged according to height, width and length. Making visualizations developed using software is an effective way to help users to better understand and be able to learn independently. Keywords: design, visualization, algorithm, greedy
PENINGKATKAN KEMAMPUAN PEMAHAMAN MATEMATIS MELALUI PENGEMBANGAN MEDIA PEMBELAJARAN MATEMATIKA BERBANTUAN MACROMEDIA FLASH PADA SISWA KELAS VI SD MATERI BANGUN DATAR

The problem in this research is learning rarely uses media in learning,Â Â students' mathematical understanding ability is still low in mathematics learning flat-build material, lack of learning media. This study aims to determine the relationship of the development of Macromedia Flash-assisted mathematics learning media related to flat material. This research method uses research and development (Research and Development). The 4-D device development model consists of 4 stages of development, namely Define, Design, Develop and Disseminate or adapted into a 4-D model, namely defining, designing, developing and disseminating. In the field trials the average pretest score is 68.24 while the average posttest score is 86.76. An average increase of 18.52. The minimum gain value is 0.62 while the maximum gain value is 1.00. In the test of the spread of the average pretest value is 60.33 while the average posttest score is 81.33. An average increase of 21. The minimum gain value is 0.77 while the maximum gain value is 0.83. Based on these data, the development of mathematics learning media assisted by macromedia flash has experienced a significant increase in students' mathematical understanding abilities.
PENGARUH STRATEGI PEMBELAJARAN CRITICAL INCIDENT DALAM MENINGKATKAN KEMAMPUAN MENULIS PUISI BERDASARKAN UNSUR INTRINSIK DAN EKSTRINSIK PADA KELAS VIII SMP NEGERI 1 POLEWALI

The aim of this research is to describe the influence of critical incident learning strategies in improving the ability to write poetry in deep structure and surface structure of Class VIII SMP Negeri 1 Polewali Mandar. This research is categorized into experimental research, namely quasi-experimental research (quasi-experimental design). The results of data analysis before implementing the critical incident learning strategy in the Experiment class, the average value of learning outcomes written in poetry was 1.93, and experienced a significant increase after the implementation of critical incident learning strategies by obtaining an average value of learning outcomes for the ability to write poetry of 2 , 75. This is inversely proportional to the Control class which applies conventional learning strategies with the acquisition of an average value, before the action given is 1.97 and has a less significant increase than the Experiment class, which is 2.17. Hypothesis test results that show the sig (2-tailed) value of 0.0001 ttable = 2.04, so based on the independent sample t test above it can be denied that it is accepted; H1, the application of learning strategies that affect the ability to write poetry in VIII grade students of SMP Negeri 1 Polewal