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Artykuły w czasopismach na temat „User metrics”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Kokol, Peter, Ivan Rozman, and Vlado Venuti. "User interface metrics." ACM SIGPLAN Notices 30, no. 4 (1995): 36–38. http://dx.doi.org/10.1145/202176.202180.

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Novikova, Evgenia, Elena Doynikova, Diana Gaifulina, and Igor Kotenko. "Construction and Analysis of Integral User-Oriented Trustworthiness Metrics." Electronics 11, no. 2 (2022): 234. http://dx.doi.org/10.3390/electronics11020234.

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Trustworthiness metrics help users to understand information system’s or a device’s security, safety, privacy, resilience, and reliability level. These metrics have different types and natures. The challenge consists of the integration of these metrics into one clear, scalable, sensitive, and reasonable metric representing overall trustworthiness level, useful for understanding if the users can trust the system or for the comparison of the devices and information systems. In this research, the authors propose a novel algorithm for calculation of an integral trustworthiness risk score that is s

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Yakovyna, Vitalii, and Bohdan Uhrynovskyi. "User-perceived Response Metrics in Android OS for Software Aging Detection." Vìsnik Nacìonalʹnogo unìversitetu "Lʹvìvsʹka polìtehnìka". Serìâ Ìnformacìjnì sistemi ta merežì 9 (June 10, 2021): 32–43. http://dx.doi.org/10.23939/sisn2021.09.032.

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Mobile systems and devices including Android are vulnerable to the effects of software aging which are manifested in performance degradation during long run-time. It is important to identify efficient system and user interface metrics for detecting and counteracting the software aging effects. The aging metrics used in researches of the Android operating system do not take into account the aging processes in user applications. Therefore, this paper discusses two new graphical user interface metrics that allow to track performance degradation and user applications response time: Frame Draw Time

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Tenopir, Carol. "Information metrics and user studies." Aslib Proceedings 55, no. 1/2 (2003): 13–17. http://dx.doi.org/10.1108/00012530310462661.

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Griffin, Patrick. "Importance of cross reaction covariance data for user applications." EPJ Web of Conferences 281 (2023): 00001. http://dx.doi.org/10.1051/epjconf/202328100001.

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The characterization of the uncertainty in radiation damage metrics presents many challenges. This paper examines the current approaches to characterizing radiation damage metrics such as hydrogen and helium gas production, material heating, trapped charge in microelectronics, and lattice displacement damage. Critical uncertainty aspects go beyond just the material cross sections and involve the consideration of energy-dependent cross reaction correlations, the recoil ion energy spectrum, and models used for the partitioning of the recoil ion energy into various forms of energy deposition. Thi

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Brown, David, and Bernard Dumouchel. "Understanding user behaviour and its metrics." Information Services & Use 27, no. 1-2 (2007): 3–34. http://dx.doi.org/10.3233/isu-2007-271-202.

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Pietquin, Olivier, and Helen Hastie. "A survey on metrics for the evaluation of user simulations." Knowledge Engineering Review 28, no. 1 (2012): 59–73. http://dx.doi.org/10.1017/s0269888912000343.

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AbstractUser simulation is an important research area in the field of spoken dialogue systems (SDSs) because collecting and annotating real human–machine interactions is often expensive and time-consuming. However, such data are generally required for designing, training and assessing dialogue systems. User simulations are especially needed when using machine learning methods for optimizing dialogue management strategies such as Reinforcement Learning, where the amount of data necessary for training is larger than existing corpora. The quality of the user simulation is therefore of crucial imp

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Kim, Dong Young and HyeWon Lee. "Learnability Metrics of Smartphone - Focused on user experience of elderly users -." Journal of Digital Design 14, no. 3 (2014): 245–53. http://dx.doi.org/10.17280/jdd.2014.14.3.025.

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Longgy, Dodhy Hyronimus Ama, M. Lintang, and N. Pandiangan. "ANALISIS USER EXPERIENCE SAPTO MENGGUNAKAN HEART METRICS." JUSIM (Jurnal Sistem Informasi Musirawas) 9, no. 1 (2024): 72–81. http://dx.doi.org/10.32767/jusim.v9i1.2260.

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Sebagai salah satu bentuk partisipasi dan apresiasi terhadap perkembangan teknologi serta tuntutan global, BAN-PT mengembangkan sistem akreditasi berbasis online dengan memanfaatkan teknologi sebagai alat bantu dimana efisiensi dan produktivitas proses akreditasi menjadi target utama yang harus dicapai. Sistem akreditasi berbasis online yang selanjutnya disebut SAPTO (Sistem Akreditasi Perguruan Tinggi Online) merupakan sistem yang bersifat mandatory sehingga sebaiknya SAPTO mampu memenuhi ekspektasi pengguna agar timbul pengalaman positif dari pengguna. Oleh karena itu, dibutuhkan suatu usaha

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Yee, Thiri The Wut, and Komwut Wipusitwarakun. "User Perspective Network Reliability Analysis for the Current Multiservice Network Infrastructure." Applied Mechanics and Materials 781 (August 2015): 120–24. http://dx.doi.org/10.4028/www.scientific.net/amm.781.120.

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Service-oriented network trends become more and more popular with network providing new and innovative type of services that require various levels of QoS performance and reliability. Internetworking technology also evolves from single service network (SSN) to multiservice network (MSN) infrastructure in order to simplify network operation and management. However, more resource sharing exposes significant negative impacts upon end-users who access services inside MSN. As a result, an efficient evaluation of the reliability from the user perspective is indispensable for designing the reliable s

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Mariño, Julian, Willian Reis, and Levi Lelis. "An Empirical Evaluation of Evaluation Metrics of Procedurally Generated Mario Levels." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 11, no. 1 (2021): 44–50. http://dx.doi.org/10.1609/aiide.v11i1.12785.

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There are several approaches in the literature for automatically generating Infinite Mario Bros levels. The evaluation of such approaches is often performed solely with computational metrics such as leniency and linearity. While these metrics are important for an initial exploratory evaluation of the content generated, it is not clear whether they are able to capture the player's perception of the content generated. In this paper we evaluate several of the commonly used computational metrics. Namely, we perform a systematic user study with procedural content generation systems and compare the

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Shen, Ray Y. "Autonomous learning behaviors in an online coding community: A comparison between project viewing/playing and code remixing in Scratch using Benford’s law." Journal of Digital Educational Technology 5, no. 1 (2025): ep2501. https://doi.org/10.30935/jdet/15808.

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Previous studies of code-learning behaviors have been conducted in structured educational settings, utilizing student engagement metrics such as homework submission, task completion, and interactions with instructors. These types of metrics, however, are absent in open online coding platforms. To characterize autonomous code-learning behaviors in an online community, this work applied Benford’s law to analyze user engagement metrics of trending projects on Scratch, the world’s largest online coding platform for young learners. Statistical analysis revealed that the extent of conformity to Benf

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You, Haoyi, Beichen Yu, Haiming Jin, Zhaoxing Yang, and Jiahui Sun. "User-Oriented Robust Reinforcement Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 12 (2023): 15269–77. http://dx.doi.org/10.1609/aaai.v37i12.26781.

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Recently, improving the robustness of policies across different environments attracts increasing attention in the reinforcement learning (RL) community. Existing robust RL methods mostly aim to achieve the max-min robustness by optimizing the policy’s performance in the worst-case environment. However, in practice, a user that uses an RL policy may have different preferences over its performance across environments. Clearly, the aforementioned max-min robustness is oftentimes too conservative to satisfy user preference. Therefore, in this paper, we integrate user preference into policy learnin

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RiadHwsein, Ramee, S. Jeyachandran, R. Satish, Muhidinov Ayubbek Nuritdinovich, P. Sundara Bala Murugan, and Atul Dattatraya Ghate. "Evaluation Metrics for User Trust in Information Systems." Indian Journal of Information Sources and Services 15, no. 2 (2025): 45–50. https://doi.org/10.51983/ijiss-2025.ijiss.15.2.07.

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User Information Systems (ISs) Trust has emerged as a central indicator of system adoption, continuance of use, and user satisfaction on the system itself. Trust is bounding with user's digital activities from participating in various e-commerce activities, healthcare, e-governance and much more. Gaining the ability and flexibility to measure and evaluate user trust is of high importance. This paper aims to present a particular set of evaluation criteria that are captured in a comprehensive framework which is trust in information systems. Different aspects of trust are shaped by the reliabilit

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15

Kalia, Prateek, Yogesh K. Dwivedi, and Ángel Acevedo-Duque. "Cellulographics©: A novel smartphone user classification metrics." Journal of Innovation & Knowledge 7, no. 2 (2022): 100179. http://dx.doi.org/10.1016/j.jik.2022.100179.

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Sears, Andrew L. "Automated metrics for user interface design and evaluation." International Journal of Bio-Medical Computing 34, no. 1-4 (1994): 149–57. http://dx.doi.org/10.1016/0020-7101(94)90018-3.

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Bessghaier, Narjes, Makram Soui, Christophe Kolski, and Mabrouka Chouchane. "On the Detection of Structural Aesthetic Defects of Android Mobile User Interfaces with a Metrics-based Tool." ACM Transactions on Interactive Intelligent Systems 11, no. 1 (2021): 1–27. http://dx.doi.org/10.1145/3410468.

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Smartphone users are striving for easy-to-learn and use mobile apps user interfaces. Accomplishing these qualities demands an iterative evaluation of the Mobile User Interface (MUI). Several studies stress the value of providing a MUI with a pleasing look and feel to engaging end-users. The MUI, therefore, needs to be free from all kinds of structural aesthetic defects. Such defects are indicators of poor design decisions interfering with the consistency of a MUI and making it more difficult to use. To this end, we are proposing a tool (Aesthetic Defects DEtection Tool (ADDET)) to determine th

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Roy, Falguni, and Mahamudul Hasan. "Comparative Analysis of Different Trust Metrics of User-User Trust-Based Recommendation System." Computer Science 23, no. 3 (2022): 337–75. http://dx.doi.org/10.7494/csci.2022.23.3.4227.

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Information overload is the biggest challenge nowadays for any website, especially e-commerce websites. However, this challenge arises for the fast growth of information on the web (WWW) with easy access to the internet. Collaborative filtering based recommender system is the most useful application to solve the information overload problem by filtering relevant information for the users according to their interests. But, the existing system faces some significant limitations such as data sparsity, low accuracy, cold-start, and malicious attacks. To alleviate the mentioned issues, the relation

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Kamil, Muhammad Asyraf Faiz. "User Experience Analysis of LinkedIn Social Media Using Usability Metric for User Experience (UMUX)." Journal of Information Engineering and Educational Technology 7, no. 2 (2023): 78–82. http://dx.doi.org/10.26740/jieet.v7n2.p78-82.

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This article presents a user experience analysis of LinkedIn using the Usability Metric for User Experience (UMUX). The study aims to assess the usability and user satisfaction of LinkedIn, identify areas for improve-ment, and propose hypotheses for future research. The problem addressed in this research is the need to evalu-ate the user experience of LinkedIn, a popular professional networking platform. The solution offered is to uti-lize the UMUX metric as a comprehensive tool for assessing usability and user satisfaction. The objectives of the study are to measure the effectiveness, efficie

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Jia, Jerry, and Minchen Wei. "38‐3: Redefine Display User Metrics and Measurements in VR/AR with a User‐Experience‐Driven Approach." SID Symposium Digest of Technical Papers 55, S1 (2024): 327–33. http://dx.doi.org/10.1002/sdtp.17075.

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Unsatisfactory user experiences such as motion sickness, low resolution and subpar image quality prevent VR/AR headsets from being embraced by ordinary consumers. To objectively define these user experience metrics and align the user experience metrics with product design and objective measurement are important for solving these challenges. This paper reviews and reports our results in several critical areas: motion sickness, display resolution and system sharpness, visual ripples or orange peels, and color uniformity. Through these examples, we hope to show the direct feedback between user ex

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Ratih Aisyah, Annisa Lusyani Zahra, Wafi Hidayatullah, and Dwi Shahita. "User Experience Analysis of Neobank Application Using Heart Metrics." BEST : Journal of Applied Electrical, Science, & Technology 5, no. 2 (2023): 1–7. http://dx.doi.org/10.36456/best.vol5.no2.6673.

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Based on the accumulated reviews, it is known that the symptoms of disrupted user experience are supported by several reviews which show dissatisfaction in operating the Neobank application, which may have an effect on decreasing user satisfaction. This problem is something that must be monitored by PT. Neo Commerce Bank so that the Neobank application remains sustainable. This research has a mission to find out what will be emphasized for the development of the Neobank application based on the HEART Metrics measurement tool with the Importance Performance Analysis method implemented. Determin

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Liu, Zeyang, Ke Zhou, and Max L. Wilson. "Meta-evaluation of Conversational Search Evaluation Metrics." ACM Transactions on Information Systems 39, no. 4 (2021): 1–42. http://dx.doi.org/10.1145/3445029.

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Conversational search systems, such as Google assistant and Microsoft Cortana, enable users to interact with search systems in multiple rounds through natural language dialogues. Evaluating such systems is very challenging, given that any natural language responses could be generated, and users commonly interact for multiple semantically coherent rounds to accomplish a search task. Although prior studies proposed many evaluation metrics, the extent of how those measures effectively capture user preference remain to be investigated. In this article, we systematically meta-evaluate a variety of

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Zhu, Hai, Xingsi Xue, Chengcai Jiang, and He Ren. "Multiobjective Sensor Ontology Matching Technique with User Preference Metrics." Wireless Communications and Mobile Computing 2021 (March 16, 2021): 1–9. http://dx.doi.org/10.1155/2021/5594553.

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Due to the problem of data heterogeneity in the semantic sensor networks, the communications among different sensor network applications are seriously hampered. Although sensor ontology is regarded as the state-of-the-art knowledge model for exchanging sensor information, there also exists the heterogeneity problem between different sensor ontologies. Ontology matching is an effective method to deal with the sensor ontology heterogeneity problem, whose kernel technique is the similarity measure. How to integrate different similarity measures to determine the alignment of high quality for the u

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Stefani, Antonia. "Mining Metrics for Enhancing E-Commerce Systems User Experience." Intelligent Information Management 14, no. 01 (2022): 25–51. http://dx.doi.org/10.4236/iim.2022.141003.

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Pal, Aditya. "Metrics and Algorithms for Routing Questions to User Communities." ACM Transactions on Information Systems 33, no. 3 (2015): 1–29. http://dx.doi.org/10.1145/2724706.

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Sidabutar, Sahat, and Arief Ichwani. "Evaluasi User Experience Aplikasi Mobile SATUSEHAT Menggunakan Heart Metrics." Jurnal Pepadun 5, no. 1 (2024): 72–82. http://dx.doi.org/10.23960/pepadun.v5i1.184.

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The Indonesian government is facing big challenges in stopping the spread of COVID-19, during the pandemic schools were temporarily closed, group activities were limited, and public entertainment venues were closed. Interactions that are usually carried out face-to-face are starting to be adapted using digital platforms. The use of information technology is absolutely necessary to respond to the COVID-19 pandemic. The SATUSEHAT mobile application is one of the mobile health applications which is an important solution to facilitate access to innovative and diverse health services such as health

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Bahrehmand, Arash, Thomas Batard, Ricardo Marques, Alun Evans, and Josep Blat. "Optimizing layout using spatial quality metrics and user preferences." Graphical Models 93 (September 2017): 25–38. http://dx.doi.org/10.1016/j.gmod.2017.08.003.

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Moffat, Alistair. "User-oriented metrics for search engine deterministic sort orders." Information Processing & Management 61, no. 1 (2024): 103547. http://dx.doi.org/10.1016/j.ipm.2023.103547.

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Xiao, Zhe Yun. "User Plane for VOLTE." Applied Mechanics and Materials 462-463 (November 2013): 198–202. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.198.

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We study the LTE system from user plane perspective, considering the challenges of delay, jitter and packet drop which influence the quality of VoIP. Whats more, in order to implement HD voice in VoLTE, system applies AMR-WB. Additionally, provide suggestion how to combine the metrics in control plane with the user plane for VOLTE performance analysis and trouble shooting.

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Jayanthi, J., and M. Ezhilmathi. "Evaluating the Effectiveness of Web Search Metrics." Asian Journal of Computer Science and Technology 1, no. 2 (2012): 16–19. http://dx.doi.org/10.51983/ajcst-2012.1.2.1707.

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Software metrics are the key performance indicators, using which the performance of a system can be assessed quantitatively. Metrics can also be applied for personalized web search which can be used to retrieve relevant results for each individual user depending on their unique profile. Although personalized search based on user profile has been under research for many years and various metrics have been proposed, it is still uncertain whether personalization is unswervingly effective on different queries for different user profiles. We present a framework for personalized search which retriev

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Li, Wu, Pengya Ai, and Annette Ding. "More Than Just Numbers: How Engagement Metrics Influence User Intention to Pay for Online Knowledge Products." SAGE Open 13, no. 1 (2023): 215824402211486. http://dx.doi.org/10.1177/21582440221148620.

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The online knowledge-sharing market in China has been rapidly growing, with increasing user demand for paid knowledge products. Like in other e-commerce contexts, users must make product evaluations under conditions of information asymmetry. In the age of social media, engagement metrics can be a particularly rich source of product information for users. However, there has been little research on how engagement metrics influence user decision making in online knowledge market. As such, mainly drawing on the Social Impact Theory, this study conducted a 2 (engagement metrics: high vs. low) × 2 (

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Chen, Yizhe. "Contextual bandits to increase user prediction accuracy in movie recommendation system." ITM Web of Conferences 73 (2025): 01018. https://doi.org/10.1051/itmconf/20257301018.

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Cold-start problems are inevitable phenomena where recommendation systems fail to accurately predict users’ favour and cause the loss of new users. The typical Multi-Armed Bandit (MAB) models are widely adopted as recommendation systems to solve cold-start problems, but standard MAB takes much more recommendation trials than new user’s tolerance. This study adopts Contextual Multi-Armed Bandit (CMAB) to alleviate such situations and compares the performance of CMAB and typical MAB models at an early stage of the cold phase. Overall, CMAB generated better results in 15 trials in terms of cumula

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Prekas, Stelios, Panagiotis A. Karkazis, and Panagiotis Trakadas. "Path Algebra-Driven Classification Solution to Realize User-Centric Performance-Oriented Virtual Network Embeddings." Telecom 5, no. 4 (2024): 1129–60. http://dx.doi.org/10.3390/telecom5040057.

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The intense diversity of the Next-Generation Networking environments like 6G and the forthcoming deployment of immersive applications with varied user-specific requirements transform the efficient allocation of resources into a real challenge. Traditional solutions like the shortest path algorithm and mono-constraint methodologies are inadequate to handle customized user-defined performance parameters and effectively classify physical resources according to these intricate demands. This research offers a new evaluation mechanism to successfully replace the aforementioned traditional path ranki

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Nurlailah and Ibnu Rusdi. "Analisis User Experience (UX) pada Aplikasi Segari menggunakan HEART Metrics." Jurnal Teknologi 16, no. 1 (2023): 1–10. http://dx.doi.org/10.34151/jurtek.v16i1.4265.

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The high number of their internet users is being marketed for business operators based on e-commerce. That is one Segari platform online expenditure that sells fresh materials quality. More than 3 thousand give users the critical. The writer to know what felt the user with UX when accessing the application Segari. Is expected to help to improve, developers create or maintain UX. HEART metrics are to identify the framework and measure the focus on user-centered Having 5 variables commonly used for measuring experience user quality (UXQ), consisting of Happiness, Engagement, Adoption, Retention,

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Xia, Xiao, Xiao Dong Wang, and Xing Ming Zhou. "Capturing Mobile User Behaviors: A Network Measurement Approach." Advanced Materials Research 765-767 (September 2013): 1494–97. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1494.

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Understanding the online user behaviors in the mobile app markets is vital for the development of mobile app ecosystems. However, user transaction data is difficult to obtain by the general research community so that little efforts have been paid to measure such behaviors. Therefore, we develop novel approaches to characterize the user behaviors. We firstly exploit app networks from the app market, which are derived from user behaviors thus capture the behavior features. We then introduce the metrics of network measurement and propose a new method to measure the app similarity. Using these met

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Vinay, Kumar Yaragani. "Optimizing E-Commerce Platform Performance: Metrics, User Journey Analysis, and Conversion Enhancement." Journal of Scientific and Engineering Research, 7, no. 9 (2020): 238–44. https://doi.org/10.5281/zenodo.13347769.

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In the dynamic world of e-commerce, maintaining robust product health and optimizing user experiences are paramount for sustained success. This paper delves into the comprehensive metrics necessary to monitor and enhance the product health of an online marketplace. We explore various stages of the user journey, from the home page to post-purchase activities, examining core metrics, error metrics, and site performance indicators such as site speed. By employing clickstream analysis, we unravel user paths to understand their behavior, identify friction points, and uncover critical paths that sig

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Black, Caroline. "Metrics: Measuring importance." Biochemist 34, no. 1 (2012): 38–41. http://dx.doi.org/10.1042/bio03401038.

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Bibliometrics is the term used to describe various approaches to analysing measures of the use of academic literature, in particular articles in peer-reviewed journals. More broadly, the topic addresses the validity or otherwise of these measures as indicators of the impact, influence or value of the research being reported. These measures, and in particular the journal Impact Factor, are used as evidence for the quality of research, to make decisions about appointments, to judge a journal editor's success, and (it is assumed) to make funding decisions. Until recently, bibliometrics was mainly

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Um, Kiwon, Xiangyu Hu, Bing Wang, and Nils Thuerey. "Spot the Difference." ACM Transactions on Applied Perception 18, no. 2 (2021): 1–15. http://dx.doi.org/10.1145/3449064.

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Comparative evaluation lies at the heart of science, and determining the accuracy of a computational method is crucial for evaluating its potential as well as for guiding future efforts. However, metrics that are typically used have inherent shortcomings when faced with the under-resolved solutions of real-world simulation problems. We show how to leverage the human visual system in conjunction with crowd-sourced user studies to address the fundamental problems of widely used classical evaluation metrics. We demonstrate that such user studies driven by visual perception yield a very robust met

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Latifah Hanum, Apriliana, Tiara Karunia Miranti, Diah Fatmawati, Muhamad Frendi Diyon, and Cahyo Joyo Prawiro. "Analisis User Experience Aplikasi Mobile Peduli Lindungi Menggunakan Heart Metrics." Jurnal Health Sains 3, no. 2 (2022): 362–72. http://dx.doi.org/10.46799/jsa.v3i2.390.

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Anjuran pemerintah terkait pengadaan vaksin dan pelaksanaan vaksin telah menjadi sarana penanggulangan pandemi Covid-19. Hal tersebut dimanfaatkan dan disalahgunakan oleh beberapa oknum untuk mendapatkan keuntungan dengan menjual sertifikat palsu. Oleh karena itu, aplikasi peduli lindungi dibuat untuk meminimalisir adanya kecurangan dari oknum terkait serta untuk mengidentifikasi dan mendeteksi aktifitas masyarakat melalui lacak data lokasi dan informasi secara digital sehingga dapat membantu pemerintah untuk memonitor masyarakat sehingga penanganan lebih efektif. Adanya urgensi penggunaan apl

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Johansson, S., and J. Johansson. "Interactive Dimensionality Reduction Through User-defined Combinations of Quality Metrics." IEEE Transactions on Visualization and Computer Graphics 15, no. 6 (2009): 993–1000. http://dx.doi.org/10.1109/tvcg.2009.153.

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Riegler, Andreas, and Clemens Holzmann. "Measuring Visual User Interface Complexity of Mobile Applications With Metrics." Interacting with Computers 30, no. 3 (2018): 207–23. http://dx.doi.org/10.1093/iwc/iwy008.

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Zhang, Min, Dongxin Zhang, Yin Zhang, Kristin Yeager, and Taylor N. Fields. "An exploratory study of Twitter metrics for measuring user influence." Journal of Informetrics 17, no. 4 (2023): 101454. http://dx.doi.org/10.1016/j.joi.2023.101454.

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Suhaerudin, Suhaerudin, and Franciskus Antonius Alijoyo. "Pengukuran User Experience Aplikasi Satusehat Dengan Pendekatan Metode Heart Metrics." Syntax Literate ; Jurnal Ilmiah Indonesia 7, no. 9 (2023): 16021–34. http://dx.doi.org/10.36418/syntax-literate.v7i9.13393.

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Aplikasi SatuSehat merupakaan transformasi bentuk dari aplikasi Peduli Lindungi sebagai langkah inovasi penting dalam upaya memanfaatkan teknologi informasi untuk meningkatkan kualitas pelayanan kesehatan. Penelitian ini bertujuan untuk mengukur kepuasan pengguna atau user experience dari aplikasi SatuSehat dengan menggunakan metode HEART Metric sehingga dapat menganalisis aplikasi dari sudut pandang kepuasan pengalaman pengguna yang meliputi Happines, Engagment, Adoption, Retention dan Task Success. Pengumpulan data dilakukan dengan simple random sampling dengan responden yang digunakan uji s

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Słomska-Przech, Katarzyna, and Izabela Małgorzata Gołębiowska. "Do Different Map Types Support Map Reading Equally? Comparing Choropleth, Graduated Symbols, and Isoline Maps for Map Use Tasks." ISPRS International Journal of Geo-Information 10, no. 2 (2021): 69. http://dx.doi.org/10.3390/ijgi10020069.

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It is acknowledged that various types of thematic maps emphasize different aspects of mapped phenomena and thus support different map users’ tasks. To provide empirical evidence, a user study with 366 participants was carried out comparing three map types showing the same input data. The aim of the study is to compare the effect of using choropleth, graduated symbols, and isoline maps to solve basic map user tasks. Three metrics were examined: two performance metrics (answer accuracy and time) and one subjective metric (difficulty). The results showed that the performance metrics differed betw

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Haner Kırğıl, Elif Nur, and Tülin Erçelebi Ayyıldız. "Predicting Software Cohesion Metrics with Machine Learning Techniques." Applied Sciences 13, no. 6 (2023): 3722. http://dx.doi.org/10.3390/app13063722.

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The cohesion value is one of the important factors used to evaluate software maintainability. However, measuring the cohesion value is a relatively difficult issue when tracing the source code manually. Although there are many static code analysis tools, not every tool measures every metric. The user should apply different tools for different metrics. In this study, besides the use of these tools, we predicted the cohesion values (LCOM2, TCC, LCC, and LSCC) with machine learning techniques (KNN, REPTree, multi-layer perceptron, linear regression (LR), support vector machine, and random forest

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Widiyaningtyas, Triyanna, Indriana Hidayah, and Teguh Bharata Adji. "Recommendation Algorithm Using Clustering-Based UPCSim (CB-UPCSim)." Computers 10, no. 10 (2021): 123. http://dx.doi.org/10.3390/computers10100123.

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One of the well-known recommendation systems is memory-based collaborative filtering that utilizes similarity metrics. Recently, the similarity metrics have taken into account the user rating and user behavior scores. The user behavior score indicates the user preference in each product type (genre). The added user behavior score to the similarity metric results in more complex computation. To reduce the complex computation, we combined the clustering method and user behavior score-based similarity. The clustering method applies k-means clustering by determination of the number of clusters usi

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Real Ananda Kristi, Muhammad Zharif Alifian, Siti Lailatul Zahrotun Nisak, Inas Syarifah Abidah, and Putu Kumara Dewi. "ANALISIS USER EXPERIENCE APLIKASI TIX.ID MENGGUNAKAN HEART FRAMEWORK." Prosiding Seminar Nasional Teknologi dan Sistem Informasi 2, no. 1 (2022): 103–12. http://dx.doi.org/10.33005/sitasi.v2i1.276.

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User Experience atau pengalaman pengguna adalah salah satu hal penting dalam perancangan sebuah aplikasi demi memberikan pengalaman positif dan layanan yang optimal dari segi kemudahan dan kenyamanan penggunanya. Oleh karena itu diperlukan sebuah analisis untuk mengukur perolehan nilai kriteria dan level of usability dari pengalaman pengguna untuk dijadikan tolak ukur dalam meningkatkan kualitas aplikasi. Penelitian ini bertujuan untuk mengukur kepuasan pengguna pada aplikasi TIX.ID, yaitu aplikasi penjualan tiket bioskop secara online. Pengujian kepuasan pengguna ini menggunakan kerangka kerj

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Şeker, Abdulkadir, Banu Diri, and Halil Arslan. "New Developer Metrics for Open Source Software Development Challenges: An Empirical Study of Project Recommendation Systems." Applied Sciences 11, no. 3 (2021): 920. http://dx.doi.org/10.3390/app11030920.

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Software collaboration platforms where millions of developers from diverse locations can contribute to the common open source projects have recently become popular. On these platforms, various information is obtained from developer activities that can then be used as developer metrics to solve a variety of challenges. In this study, we proposed new developer metrics extracted from the issue, commit, and pull request activities of developers on GitHub. We created developer metrics from the individual activities and combined certain activities according to some common traits. To evaluate these m

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Zhang, Heng-Ru, Fan Min, Xu He, and Yuan-Yuan Xu. "A Hybrid Recommender System Based on User-Recommender Interaction." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/145636.

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Recommender systems are used to make recommendations about products, information, or services for users. Most existing recommender systems implicitly assume one particular type of user behavior. However, they seldom consider user-recommender interactive scenarios in real-world environments. In this paper, we propose a hybrid recommender system based on user-recommender interaction and evaluate its performance with recall and diversity metrics. First, we define the user-recommender interaction. The recommender system accepts user request, recommendsNitems to the user, and records user choice. I

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Ammar, Mahmoud Ali. "Performance Metrics in Cognitive Radio Networks." AL-MUKHTAR JOURNAL OF SCIENCES 36, no. 1 (2021): 73–79. http://dx.doi.org/10.54172/mjsc.v36i1.21.

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In Cognitive Radio Networks (CRN), the main aim is to allow the secondary users (SUs) to identify the empty bands and use them to transmit or receive data opportunistically. Primary users (PUs) have the priority to use a channel, while the secondary users must vacant this channel once a primary user requests it. An attack known in cognitive radio networks as a Primary User Emulation Attack (PUEA) aims to prevent the SU from using the empty bands. In this paper, an analytical and experimental approach is presented to mitigate the PUEA. This approach is based on obtaining the Probability Density

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