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Journal articles on the topic 'Naive computer users'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Burgess, Clifford G. "A graphical, database-querying interface for casual, naive computer users." International Journal of Man-Machine Studies 34, no. 1 (1991): 23–47. http://dx.doi.org/10.1016/0020-7373(91)90049-d.

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Coovert, Michael D. "A CAUSAL MODEL OF HUMAN VS. COMPUTER INTERACTION PREFERENCE FOR NAIVE USERS." ACM SIGCHI Bulletin 18, no. 3 (1987): 77–79. http://dx.doi.org/10.1145/25281.1044308.

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Fadlil, Abdul, Imam Riadi, and Sukma Aji. "Review of Detection DDOS Attack Detection Using Naive Bayes Classifier for Network Forensics." Bulletin of Electrical Engineering and Informatics 6, no. 2 (2017): 140–48. http://dx.doi.org/10.11591/eei.v6i2.605.

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Distributed Denial of Service (DDoS) is a type of attack using the volume, intensity, and more costs mitigation to increase in this era. Attackers used many zombie computers to exhaust the resources available to a network, application or service so that authorize users cannot gain access or the network service is down, and it is a great loss for Internet users in computer networks affected by DDoS attacks. In the Network Forensic, a crime that occurs in the system network services can be sued in the court and the attackers will be punished in accordance with law. This research has the goal to

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Boren, Rebecca W., William C. Moor, and Mary R. Anderson-Rowland. "Optimal number of choices per menu for naive users of a computer-answered telephone system." Computers & Industrial Engineering 32, no. 2 (1997): 363–70. http://dx.doi.org/10.1016/s0360-8352(96)00297-5.

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Paik, Incheon, and Hiroshi Mizugai. "Recommendation System Using Weighted TF-IDF and Naive Bayes Classifiers on RSS Contents." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 6 (2010): 631–37. http://dx.doi.org/10.20965/jaciii.2010.p0631.

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A recent increase in RDF Site Summary (RSS) feeds, used for news updates and blogs, has been caused by the widespread use of blogs. This means that much effort is now needed to search the contents of RSS feeds because of this enormous quantity of material. To solve this problem, recommendation systems enable users to obtain relevant RSS contents easily and quickly. In previous research, an RSS recommendation system was proposed that used the similarity between the Term Frequency (TF) of the RSS contents and the TF derived from the contents of the user’s browsing history for RSS feeds. In this

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Jobst, Jack. "Word Processing: Two Ethical Concerns." Journal of Technical Writing and Communication 17, no. 1 (1987): 1–8. http://dx.doi.org/10.2190/c738-2mgp-xcbw-kb7e.

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The technological marvel of word processing should greatly improve teaching effectiveness in the writing class, but this beneficial technology also brings its potential dark side: unethical activity, from plagiarism to the manipulation of a writer's words and, potentially, thoughts. Naive computer users may view the machine as a passive provider of electronic games, not realizing its potential for questionable activities. Teachers and business professionals must become aware of how this technological marvel could be misused.

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Fargier, Hélène, Pierre-François Gimenez, and Jérôme Mengin. "Experimental Evaluation of Three Value Recommendation Methods in Interactive Configuration." JUCS - Journal of Universal Computer Science 26, no. 3 (2020): 318–42. http://dx.doi.org/10.3897/jucs.2020.018.

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The present work deals with the recommendation of values in interactive configuration, with no prior knowledge about the user, but given a list of products previously configured and bought by other users ("sales histories"). The basic idea is to recommend, for a given variable at a given step of the configuration process, a value that has been chosen by other users in a similar context, where the context is defined by the variables that have already been decided, and the values that the current user has chosen for these variables. From this point, two directions have been explored. The first o

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Baadel, Said, and Joan Lu. "Data Analytics: Intelligent Anti-Phishing Techniques Based on Machine Learning." Journal of Information & Knowledge Management 18, no. 01 (2019): 1950005. http://dx.doi.org/10.1142/s0219649219500059.

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According to the international body Anti-Phishing Work Group (APWG), phishing activities have skyrocketed in the last few years and more online users are becoming susceptible to phishing attacks and scams. While many online users are vulnerable and naive to the phishing attacks, playing catch-up to the phishers’ evolving strategies is not an option. Machine Learning techniques play a significant role in developing effective anti-phishing models. This paper looks at phishing as a classification problem and outlines some of the recent intelligent machine learning techniques (associative classifi

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McArthur, J., J. Bolles, J. Fine, P. Kidd, and M. Bessis. "Interactive Computer-Video Modules for Health Sciences Education." Methods of Information in Medicine 28, no. 04 (1989): 360–63. http://dx.doi.org/10.1055/s-0038-1636797.

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Abstract:Advances in electronic image recording and computer technologyhave resulted in a remarkable increase in the power and flexibility of interactive computer-video teaching systems. The University of Washington Health Science Videodisc Development Group first demonstrated a laser videodisc controlled by a remote central computer in 1980. Even this rudimentary unit highlighted basic medical informatics principles including: rapid accessibility; a “generic” or multi-purposed format; ease of computer control; and large collections of valid, rigorously reviewed images. Advances in medical inf

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Andoh, John, Louis Asiedu, Anani Lotsi, and Charlotte Chapman-Wardy. "Statistical Analysis of Public Sentiment on the Ghanaian Government: A Machine Learning Approach." Advances in Human-Computer Interaction 2021 (March 3, 2021): 1–7. http://dx.doi.org/10.1155/2021/5561204.

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Gathering public opinions on the Internet and Internet-based applications like Twitter has become popular in recent times, as it provides decision-makers with uncensored public views on products, government policies, and programs. Through natural language processing and machine learning techniques, unstructured data forms from these sources can be analyzed using traditional statistical learning. The challenge encountered in machine learning method-based sentiment classification still remains the abundant amount of data available, which makes it difficult to train the learning algorithms in fea

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Maisuria, Jemish V., and Saurabh N. Mehta. "Bayesian-Based Spectrum Sensing and Optimal Channel Estimation for MAC Layer Protocol in Cognitive Radio Sensor Networks." Computer Journal 63, no. 6 (2020): 942–57. http://dx.doi.org/10.1093/comjnl/bxaa002.

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Abstract Cognitive radio (CR) is an intelligent and adaptive radio technology that automatically detects the available channels in the wireless spectrum and sometimes changes the transmission parameters to enable effective communication. Spectrum sensing in CR prevents harmful interference with the licensed users and maximizes the spectrum utilization. Thus, this paper proposes a technique for optimal channel estimation and spectrum sensing for MAC layer protocol in CR networks such that the scheduling issues are addressed. Initially, in the CR networks, spectrum sensing is done using the prop

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Coulter, Xenia. "A New Way of Teaching Statistics." Journal of Educational Technology Systems 24, no. 2 (1995): 181–87. http://dx.doi.org/10.2190/k906-0m2x-cgte-7xgv.

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Teaching statistics through computer-assisted simulations eliminates the constraints and challenges associated with teaching the course using mathematics. It also provides students with a practical means for solving real-life problems and a solid conceptual grasp of the problem-solving nature of the discipline. A text that deemphasizes mathematics and introduces simulation as a means of understanding concepts, along with software designed for computer-intensive statistical methods and a workbook of journal article selections provide the foundation materials for such a study of statistics. A sp

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Yan, Bingwen, Chunqiong Wu, Rongrui Yu, et al. "Big Data-Based E-Commerce Transaction Information Collection Method." Complexity 2021 (June 16, 2021): 1–11. http://dx.doi.org/10.1155/2021/8665621.

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With the rapid development of e-commerce industry, online shopping has become a craze. With the rapid growth of transaction volume on e-commerce platforms, a large amount of transaction data has been accumulated. From the transaction information of these users, a lot of very valuable information can be mined, such as the defects of products and the actual needs of users. In view of the existing e-commerce transaction information collection method is not mature, in this paper, the electric business platform system architecture planning and design increases the function management module. In thi

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Seliverstov, Yaroslav, Viktoriya Chigur, Arseniy Sazanov, Svyatoslav Seliverstov, and Aliaksandra Svistunova. "Sentiment Analysis of "AUTOSTRADA.INFO/RU" Users’ Comments." SPIIRAS Proceedings 18, no. 2 (2019): 354–89. http://dx.doi.org/10.15622/sp.18.2.354-389.

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As a result of the analysis, it was revealed that social networks (Vkontakte, Facebook), thematic communities in microblogging networks (Twitter), resources for travelers (TripAdvisor), transport portals (Autostrada) are a source of up-to-date and operational information about the traffic situation, the quality of transport services and passenger satisfaction with the quality of levels of transport services. However, the existing transport monitoring systems do not contain software tools capable of collecting and analyzing traffic information located in the Internet environment. This paper dis

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Xi, Haixu, Feiyue Ye, Sheng He, Yijun Liu, and Hongfen Jiang. "Bayes Performance of Batch Data Mining Based on Functional Dependencies." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 03 (2019): 1959011. http://dx.doi.org/10.1142/s0218001419590110.

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Batch processes and phenomena in traffic video data processing, such as traffic video image processing and intelligent transportation, are commonly used. The application of batch processing can increase the efficiency of resource conservation. However, owing to limited research on traffic video data processing conditions, batch processing activities in this area remain minimally examined. By employing database functional dependency mining, we developed in this study a workflow system. Meanwhile, the Bayesian network is a focus area of data mining. It provides an intuitive means for users to co

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Chen, Xiaogang, Bing Zhao, Yijun Wang, Shengpu Xu, and Xiaorong Gao. "Control of a 7-DOF Robotic Arm System With an SSVEP-Based BCI." International Journal of Neural Systems 28, no. 08 (2018): 1850018. http://dx.doi.org/10.1142/s0129065718500181.

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Although robot technology has been successfully used to empower people who suffer from motor disabilities to increase their interaction with their physical environment, it remains a challenge for individuals with severe motor impairment, who do not have the motor control ability to move robots or prosthetic devices by manual control. In this study, to mitigate this issue, a noninvasive brain-computer interface (BCI)-based robotic arm control system using gaze based steady-state visual evoked potential (SSVEP) was designed and implemented using a portable wireless electroencephalogram (EEG) sys

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Feng, Cheng, Ye Tian, Xiangyang Gong, Xirong Que, and Wendong Wang. "MCS-RF: mobile crowdsensing–based air quality estimation with random forest." International Journal of Distributed Sensor Networks 14, no. 10 (2018): 155014771880470. http://dx.doi.org/10.1177/1550147718804702.

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It is a great challenge to offer a fine-grained and accurate PM2.5 monitoring service in urban areas as required facilities are very expensive and huge. Since PM2.5 has a significant scattering effect on visible light, large-scale user-contributed image data collected by the mobile crowdsensing bring a new opportunity for understanding the urban PM2.5. In this article, we propose a fine-grained PM2.5 estimation method based on random forest with data announced by meteorological departments and collected from smartphone users without any PM2.5 measurement devices. We design and implement a plat

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Yang, Qing, Haiyang Wang, Mengyang Bian, Yuming Lin, and Jingwei Zhang. "Incorporating Reverse Search for Friend Recommendation with Random Walk." International Arab Journal of Information Technology 17, no. 3 (2020): 291–98. http://dx.doi.org/10.34028/iajit/17/3/2.

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Recommending friends is an important mechanism for social networks to enhance their vitality and attractions to users. The huge user base as well as the sparse user relationships give great challenges to propose friends on social networks. Random walk is a classic strategy for recommendations, which provides a feasible solution for the above challenges. However, most of the existing recommendation methods based on random walk are only weighing the forward search, which ignore the significance of reverse social relationships. In this paper, we proposed a method to recommend friends by integrati

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Zhao, Yanchao, Ran Gao, and Huawei Tu. "Smartwatch User Authentication Based on the Arm-Raising Gesture." Interacting with Computers 32, no. 5-6 (2020): 569–80. http://dx.doi.org/10.1093/iwcomp/iwab013.

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Abstract Smartwatches have arguably become a popular wearable device nowadays. It is important to protect privacy data stored in smartwatches from being stolen. This study proposes a novel smartwatch user authentication technique based on the arm-raising gesture, which is the process of moving the arm from one side of the body to the chest height. We conducted two experiments to verify the effectiveness of the proposed technique. In Experiment 1, we investigated the performance of identifying users with the arm-raising gesture. We selected a set of features and applied them to five basic machi

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Zhang, Huixiang, Wenteng Xu, Chunlei Chen, Liang Bai, and Yonghui Zhang. "Your Knock Is My Command: Binary Hand Gesture Recognition on Smartphone with Accelerometer." Mobile Information Systems 2020 (July 26, 2020): 1–16. http://dx.doi.org/10.1155/2020/8864627.

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Motion-based hand gesture is an important scheme to allow users to invoke commands on their smartphones in an eyes-free manner. However, the existing scheme is facing some problems. On the one hand, the expression ability of one single gesture is limited. As a result, a gesture set consisting of multiple gestures is typically adopted to represent different commands. Users must memorize all gestures in order to make interaction successfully. On the other hand, the design of gestures needs to be complicated to express diverse intensions. However, complex gestures are difficult to learn and remem

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Brevik, John, Daniel Nurmi, and Rich Wolski. "Using Model-based Clustering to Improve Predictions for Queueing Delay on Parallel Machines." Parallel Processing Letters 17, no. 01 (2007): 21–46. http://dx.doi.org/10.1142/s0129626407002855.

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Most space-sharing parallel computers presently operated by production high-performance computing centers use batch-queuing systems to manage processor allocation. In many cases, users wishing to use these batch-queued resources may choose among different queues (charging different amounts) potentially on a number of machines to which they have access. In such a situation, the amount of time a user's job will wait in any one batch queue can be a significant portion of the overall time from job submission to job completion. It thus becomes desirable to provide a prediction for the amount of tim

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Zhang, Qian, Dong Wang, Run Zhao, and Yinggang Yu. "SoundLip." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 1 (2021): 1–28. http://dx.doi.org/10.1145/3448087.

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As a natural and convenient interaction modality, voice input has now become indispensable to smart devices (e.g. mobile phones and smart appliances). However, voice input is strongly constrained by surroundings and may raise privacy leakage in public areas. In this paper, we present SoundLip, an end-to-end interaction system enabling users to interact with smart devices via silent voice input. The key insight is to use inaudible acoustic signals to capture the lip movements of users when they issue commands. Previous works have considered lip reading as a naive classification task and thus ca

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Venugopal, Vinu E., and P. Sreenivasa Kumar. "Difficulty-level modeling of ontology-based factual questions." Semantic Web 11, no. 6 (2020): 1023–36. http://dx.doi.org/10.3233/sw-200381.

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Semantics-based knowledge representations such as ontologies are found to be very useful in automatically generating meaningful factual questions. Determining the difficulty-level of these system-generated questions is helpful to effectively utilize them in various educational and professional applications. The existing approach for predicting the difficulty-level of factual questions utilizes only few naive features and, its accuracy (F-measure) is found to be close to only 50% while considering our benchmark set of 185 questions. In this paper, we propose a new methodology for this problem b

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Pattinson, Malcolm, Kathryn Parsons, Marcus Butavicius, Agata McCormac, and Dragana Calic. "Assessing information security attitudes: a comparison of two studies." Information & Computer Security 24, no. 2 (2016): 228–40. http://dx.doi.org/10.1108/ics-01-2016-0009.

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Purpose The purpose of this paper is to report on the use of two studies that assessed the attitudes of typical computer users. The aim of the research was to compare a self-reporting online survey with a set of one-on-one repertory grid technique interviews. More specifically, this research focussed on participant attitudes toward naive and accidental information security behaviours. Design/methodology/approach In the first study, 23 university students responded to an online survey within a university laboratory setting that captured their attitudes toward behaviours in each of seven focus a

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Imane, Guellil, Darwish Kareem, and Azouaou Faical. "A set of parameters for automatically annotating a Sentiment Arabic Corpus." International Journal of Web Information Systems 15, no. 5 (2019): 594–615. http://dx.doi.org/10.1108/ijwis-03-2019-0008.

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Purpose This paper aims to propose an approach to automatically annotate a large corpus in Arabic dialect. This corpus is used in order to analyse sentiments of Arabic users on social medias. It focuses on the Algerian dialect, which is a sub-dialect of Maghrebi Arabic. Although Algerian is spoken by roughly 40 million speakers, few studies address the automated processing in general and the sentiment analysis in specific for Algerian. Design/methodology/approach The approach is based on the construction and use of a sentiment lexicon to automatically annotate a large corpus of Algerian text t

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Aljumah, Abdullah. "Assessment of Machine Learning Techniques in IoT-Based Architecture for the Monitoring and Prediction of COVID-19." Electronics 10, no. 15 (2021): 1834. http://dx.doi.org/10.3390/electronics10151834.

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From the end of 2019, the world has been facing the threat of COVID-19. It is predicted that, before herd immunity is achieved globally via vaccination, people around the world will have to tackle the COVID-19 pandemic using precautionary steps. This paper suggests a COVID-19 identification and control system that operates in real-time. The proposed system utilizes the Internet of Things (IoT) platform to capture users’ time-sensitive symptom information to detect potential cases of coronaviruses early on, to track the clinical measures adopted by survivors, and to gather and examine appropria

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Faltis, Christian J., and Robert A. DeVillar. "Computer Uses for Teaching Spanish to Bilingual Native Speakers." Computers in the Schools 7, no. 1-2 (1990): 257–69. http://dx.doi.org/10.1300/j025v07n01_13.

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Srilakshmi, V., K. Anuradha, and C. Shoba Bindu. "Optimized deep belief network and entropy-based hybrid bounding model for incremental text categorization." International Journal of Web Information Systems 16, no. 3 (2020): 347–68. http://dx.doi.org/10.1108/ijwis-03-2020-0015.

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Purpose This paper aims to model a technique that categorizes the texts from huge documents. The progression in internet technologies has raised the count of document accessibility, and thus the documents available online become countless. The text documents comprise of research article, journal papers, newspaper, technical reports and blogs. These large documents are useful and valuable for processing real-time applications. Also, these massive documents are used in several retrieval methods. Text classification plays a vital role in information retrieval technologies and is considered as an

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Perkins, Kenneth A., and Joshua L. Karelitz. "A Procedure to Standardize Puff Topography During Evaluations of Acute Tobacco or Electronic Cigarette Exposure." Nicotine & Tobacco Research 22, no. 5 (2018): 689–98. http://dx.doi.org/10.1093/ntr/nty261.

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Abstract Introduction Documenting factors that influence differential sensitivity to acutely inhaled nicotine products requires carefully controlling the amount of exposure (dose), and thus a procedure by which to control such exposure. Methods We evaluated consistency of puff volume from intermittent acute exposures to smoked tobacco cigarettes (study 1, n = 45, plus a comparison study of uninstructed use with n = 59) and to vaped electronic cigarettes (e-cigarettes; study 2, n = 27 naive to e-cigarettes) in adult-dependent smokers. All in primary studies 1 and 2 participated in research admi

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Yi, Aaron Ling Chi, and Dae-Ki Kang. "Experimental Analysis of Friend-And-Native Based Location Awareness for Accurate Collaborative Filtering." Applied Sciences 11, no. 6 (2021): 2510. http://dx.doi.org/10.3390/app11062510.

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Location-based recommender systems have gained a lot of attention in both commercial domains and research communities where there are various approaches that have shown great potential for further studies. However, there has been little attention in previous research on location-based recommender systems for generating recommendations considering the locations of target users. Such recommender systems sometimes recommend places that are far from the target user’s current location. In this paper, we explore the issues of generating location recommendations for users who are traveling overseas b

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Chiang, I.-Ping, Cheng-Chan Chuang, and Pei-Wen Lin. "DO NATIVE ADVERTISEMENTS ATTRACT MORE ATTENTION FROM FACEBOOK USERS?" International Journal of Electronic Commerce Studies 9, no. 2 (2019): 191. http://dx.doi.org/10.7903/ijecs.1560.

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Yamamoto, Shuhei, Kei Wakabayashi, Noriko Kando, and Tetsuji Satoh. "Twitter user tagging method based on burst time series." International Journal of Web Information Systems 12, no. 3 (2016): 292–311. http://dx.doi.org/10.1108/ijwis-03-2016-0012.

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Purpose Many Twitter users post tweets that are related to their particular interests. Users can also collect information by following other users. One approach clarifies user interests by tagging labels based on the users. A user tagging method is important to discover candidate users with similar interests. This paper aims to propose a new user tagging method using the posting time series data of the number of tweets. Design/methodology/approach Our hypothesis focuses on the relationship between a user’s interests and the posting times of tweets: as users have interests, they will post more

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Major, David, Danny Yuxing Huang, Marshini Chetty, and Nick Feamster. "Alexa, Who Am I Speaking To?: Understanding Users’ Ability to Identify Third-Party Apps on Amazon Alexa." ACM Transactions on Internet Technology 22, no. 1 (2022): 1–22. http://dx.doi.org/10.1145/3446389.

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Many Internet of Things devices have voice user interfaces. One of the most popular voice user interfaces is Amazon’s Alexa, which supports more than 50,000 third-party applications (“skills”). We study how Alexa’s integration of these skills may confuse users. Our survey of 237 participants found that users do not understand that skills are often operated by third parties, that they often confuse third-party skills with native Alexa functions, and that they are unaware of the functions that the native Alexa system supports. Surprisingly, users who interact with Alexa more frequently are more

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Dąbrowska, Marta. "English as a We-Code: form and Function of English in Facebook Status Updates of Non-Native Female and Male Users." Research in Language 17, no. 3 (2019): 231–52. http://dx.doi.org/10.18778/1731-7533.17.3.02.

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The English language has featured markedly as a popular language of computer-mediated communication, and notably of Facebook posts, written not only by native or second language speakers, but also users of English as a foreign language. The aim of this paper is to investigate the frequency, form and function of English language Facebook profile updates of 110 (55 women and 55 men) users of English representing 41 European, Asian, African and Latin American countries belonging to the Expanding Circle. Approached from the point of view of the code choice as well as the users’ gender, and support

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Shih, Heloisa Martins, and Ravindra S. Goonetilleke. "Effectiveness of Menu Orientation in Chinese." Human Factors: The Journal of the Human Factors and Ergonomics Society 40, no. 4 (1998): 569–76. http://dx.doi.org/10.1518/001872098779649373.

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Graphical user interface guidelines have been developed predominantly in English-speaking countries, but aspects related to culture (e.g., local metaphors, symbols, color, and flow) are not universal and have received little or no attention. Even though the reading and writing flow of languages such as English, Japanese, and Chinese differ widely, most software interfaces do not take account of this. In this paper we investigate the effectiveness of menu flow or menu orientation in both the Chinese and English languages for Chinese users. The experimental results indicate that for the Chinese

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Kulesza, Todd, Simone Stumpf, Weng-Keen Wong, et al. "Why-oriented end-user debugging of naive Bayes text classification." ACM Transactions on Interactive Intelligent Systems 1, no. 1 (2011): 1–31. http://dx.doi.org/10.1145/2030365.2030367.

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Aslan, Alper, Murat Coban, Turkan Karakus Yilmaz, and Yuksel Goktas. "The Native Symbols Engaging Turkish Players to Digital Games in a Playability Perspective." Simulation & Gaming 48, no. 4 (2017): 480–97. http://dx.doi.org/10.1177/1046878117704684.

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Background. The satisfaction of a player’s gaming experience has a great impact on their game preferences. The goal of this study was to investigate the opinions and experiences of Turkish players of computer games in order to examine the effects of native symbols on their game preferences. Method. The data collection tools were games developed in Turkey, websites for these games, user comments made on the video records of the games, online forums, and an open-ended questionnaire. Results. The results indicate that although native symbols from the players’ home society play a role in shaping t

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Jibaja-Weiss, Maria L., and Robert J. Volk. "Utilizing Computerized Entertainment Education in the Development of Decision Aids for Lower Literate and Naïve Computer Users." Journal of Health Communication 12, no. 7 (2007): 681–97. http://dx.doi.org/10.1080/10810730701624356.

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DOYLE, J. R. "Naïve users and the Lotus* interface: a field study." Behaviour & Information Technology 9, no. 1 (1990): 81–89. http://dx.doi.org/10.1080/01449299008924226.

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Huang, Chun-ying, Yun-chen Cheng, Guan-zhang Huang, Ching-ling Fan, and Cheng-hsin Hsu. "On the Performance Comparisons of Native and Clientless Real-Time Screen-Sharing Technologies." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 2 (2021): 1–26. http://dx.doi.org/10.1145/3437881.

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Real-time screen-sharing provides users with ubiquitous access to remote applications, such as computer games, movie players, and desktop applications (apps), anywhere and anytime. In this article, we study the performance of different screen-sharing technologies, which can be classified into native and clientless ones. The native ones dictate that users install special-purpose software, while the clientless ones directly run in web browsers. In particular, we conduct extensive experiments in three steps. First, we identify a suite of the most representative native and clientless screen-sharin

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van Compernolle, Rémi A., and Lawrence Williams. "LEARNER VERSUS NONLEARNER PATTERNS OF STYLISTIC VARIATION IN SYNCHRONOUS COMPUTER-MEDIATED FRENCH." Studies in Second Language Acquisition 31, no. 3 (2009): 471–500. http://dx.doi.org/10.1017/s0272263109090378.

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This study analyzes stylistic variation among first-, second-, and third-year instructed learners of French engaged in synchronous French-language computer-mediated communication (CMC) and compares the results with data from nonlearner discourse in a public, noneducational synchronous CMC environment. We focus specifically on variability inyes/noquestion (YNQ) structures and the use of the pronounsnous“we” andon“one” or “we” for first-person plural reference. The results suggest that whereas first- and second-year learners rarely use informal variants, third-year students approximate—but do no

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Asmiati, Nungky, and Fatmawati. "Penerapan Algoritma Naive Bayes Untuk Mengklasifikasi Pengaruh Negatif Game Online Bagi Remaja Milenial." JTIM : Jurnal Teknologi Informasi dan Multimedia 2, no. 3 (2020): 141–49. http://dx.doi.org/10.35746/jtim.v2i3.102.

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In this modern era, the use of electronics such as cellphones, computers, laptops and others quite widely used for various needs. Information technology that is very developed today brings changes and affects social life. One of the problems in society is the large influence of online games because online games themselves have an attraction that makes people more fun playing than learning. It evidenced by the large number of millennial adolescents spending their daily time in front of computers or smartphones instead of books, and the lack of socializing is also one of the negative effects of

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Balaban, Mira, and Michael Elhadad. "On the Need for Visual Formalisms in Music Processing." Leonardo 32, no. 2 (1999): 127–34. http://dx.doi.org/10.1162/002409499553109.

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Computer music environments (CMEs) are notoriously difficult to design and implement. As computer programs, they reflect the complex nature of music ontology and must support real-time manipulation of multimedia data. In addition, these programs must be usable by native users, supporting their creative process without obstructing it through technical difficulties. To achieve these goals, the authors argue, CMEs must be provided with a well-defined methodology relying on techniques from the fields of software engineering, artificial intelligence, and knowledge representation. This paper contrib

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Gunarto, Hary. "Apps-based Machine Translation on Smart Media Devices - A Review." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 13, no. 1 (2019): 95. http://dx.doi.org/10.22146/ijccs.43066.

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Machine Translation Systems are part of Natural Language Processing (NLP) that makes communication possible among people using their own native language through computer and smart media devices. This paper describes recent progress in language dictionaries and machine translation commonly used for communications and social interaction among people or Internet users worldwide who speak different languages. Problems of accuracy and quality related to computer translation systems encountered in web & Apps-based translation are described and discussed. Possible programming solutions to the pro

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Caparaz, Pilar, and Leah Gustilo. "COMMUNICATIVE ASPECTS OF MULTILINGUAL CODE SWITCHING IN COMPUTER-MEDIATED COMMUNICATION." Indonesian Journal of Applied Linguistics 7, no. 2 (2017): 111. http://dx.doi.org/10.17509/ijal.v7i2.8137.

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The quintessential role of language has been punctiliously studied relative to intercultural communication, cultural heritage, social development, education, identity construction and many more domains. One forum wherein language is investigated is the Computer-mediated Communication (CMC) which provides a fertile ground for linguistic and sociolinguistic analyses. The present study aims at investigating the preferred codes used in code switching (CS), functions of CS, and the motives of users for employing CS in CMC. The present study was based on the investigation of 200 status updates and 1

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Wolkowski, Bailey, Elisabeth Snead, Michal Wesolowski, et al. "Assessment of freeware programs for the reconstruction of tomography datasets obtained with a monochromatic synchrotron-based X-ray source." Journal of Synchrotron Radiation 22, no. 4 (2015): 1130–38. http://dx.doi.org/10.1107/s1600577515008437.

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Synchrotron-based in-line phase-contrast computed tomography (PC-CT) allows soft tissue to be imaged with sub-gross resolution and has potential to be used as a diagnostic tool. The reconstruction and processing of in-line PC-CT datasets is a computationally demanding task; thus, an efficient and user-friendly software program is desirable. Four freeware programs (NRecon,PITRE,H-PITREandAthabasca Recon) were compared for the availability of features such as dark- and flat-field calibration, beam power normalization, ring artifact removal, and alignment tools for optimizing image quality. An in

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Roberts, Gerrianne, and Shawon Rahman. "Does Digital Native Status Impact End-User Antivirus Usage?" International journal of Computer Networks & Communications 13, no. 2 (2021): 121–42. http://dx.doi.org/10.5121/ijcnc.2021.13207.

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Due to the increasingly online nature of business (e-commerce), it is essential to understand how end-users can be protected from malicious online activities such as malware. Several factors have been examined in the research on this topic. Digital native status was identified as a factor that has not been investigated thoroughly. This study examined how the security decision-making process is impacted by digital native status by looking at Protection Motivation Theory. Digital Native Status was investigated as a mediating factor in the PMT model. Intent to use antivirus was utilized as the pr

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Bazzanella, Barbara, Heiko Stoermer, and Paolo Bouquet. "Entity Type Disambiguation in User Queries." Journal of Information & Knowledge Management 10, no. 03 (2011): 209–24. http://dx.doi.org/10.1142/s0219649211002948.

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Searching for information about individual entities such as persons, locations, events, is an important activity in Internet search today, and is in its core a very semantic-oriented task. Several ways for accessing such information exist, but for locating entity-specific information, search engines are the most commonly used approach. In this context, keyword queries are the primary means of retrieving information about a specific entity. We believe that an important first step of performing such a task is to understand what type of entity the user is looking for. We call this process Entity

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Osipov, Ilya V., Alex A. Volinsky, Evgeny Nikulchev, and Anna Y. Prasikova. "Communication and Gamification in the Web-Based Foreign Language Educational System." International Journal of Web-Based Learning and Teaching Technologies 11, no. 4 (2016): 22–34. http://dx.doi.org/10.4018/ijwltt.2016100102.

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The paper describes development of the educational online web communication platform for teaching and learning foreign languages. The main objective was to develop a web application for teaching foreigners to understand casual fluent speech. The system is based on the time bank principle, allowing users to teach others their native language along with taking foreign language lessons. The system is based on the WebRTC technology, allowing users to access synchronized teaching materials along with seeing and hearing each other. The paper describes studies associated with user involvement in the

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Coleman, Loren Saxton. "“We’re a Part of This City, Too”: An Examination of the Politics of Representation of D.C. Native via #DCNativesDay." Social Media + Society 7, no. 1 (2021): 205630512098444. http://dx.doi.org/10.1177/2056305120984446.

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This cultural analysis explores how D.C. natives represented themselves on Twitter via #DCNativesDay. The analysis found that Twitter users engaged in hashtag activism to share stories about their connection to place(s) (e.g., movie theaters, neighborhoods, public schools) in the city that were integral in the construction of their individual and collective Black D.C. native identities. Constructed identities were not monolithic, and users engaged in some self-reflexivity. The users’ emphasis on place seemed to signify reclamation of changing city landscapes and legitimacy in the city. Ultimat

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