Gotowe bibliografie tematyczne / Personalized Feed

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Gotowa bibliografia na temat „Personalized Feed”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Personalized Feed"

García, Víctor Manuel Álvarez, María del Puerto Paule Ruiz, Remko van Dort, and Juan Ramón Pérez Pérez. "RSS-Based Learning Using Audio." International Journal of Human Capital and Information Technology Professionals 1, no. 4 (2010): 76–87. http://dx.doi.org/10.4018/jhcitp.2010100105.

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Specifications such as RSS feeds are opening a new channel of communication for Internet-based learning, which gives a decentralized view of web resources while maintaining the privacy of teachers and students who are consulting the information. This philosophy can be used to create personalized learning tools in which users can take control of resources they want to have access to. In this regard, RSS is XML-based, which makes it easy to complement visual access with audio interfaces, adapting the feeds to different educational contexts and learning styles. This paper discusses the use of fee

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Srujana, Sri, E. Padmalatha Dr., and Tanvi Mareddy. "Review on Personalized Activity Notification and Feedback." Engineering and Technology Journal 10, no. 04 (2025): 4386–91. https://doi.org/10.5281/zenodo.15141775.

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News Aggregator is a real-time, personalized news and placement update service specifically tailored for students. It will be extremely difficult to keep up with in this age of information with information relevant to employment opportunities and pertinent information without the precise solutions in a timely manner. It caters to an application required by a centralized system that offers educational and professional content, well-curated towards individual academic or career interests. The system uses the application of ML and NLP for behavior and preference analysis regarding individuals. Re

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Soler Costa, Rebeca, Qing Tan, Frédérique Pivot, Xiaokun Zhang, and Harris Wang. "Personalized and adaptive learning." Texto Livre: Linguagem e Tecnologia 14, no. 3 (2021): e33445. http://dx.doi.org/10.35699/1983-3652.2021.33445.

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Education Technology advances many aspects of learning. More and more learning is taking place online. Learners’ learning behaviors, style, and performance can be easily profiled through learning analytics which collects their online learning footage. It enables and encourages educational research, learning software application development, and online education practices towards personalized and adaptive learning. As we continue to see personalized and adaptive learning progress, we must also pay attention to the negative impacts that feed into our research. In this paper, we will present our

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Manoharan, Saravanapriya, and Radha Senthilkumar. "An Intelligent Fuzzy Rule-Based Personalized News Recommendation Using Social Media Mining." Computational Intelligence and Neuroscience 2020 (May 31, 2020): 1–10. http://dx.doi.org/10.1155/2020/3791541.

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Recommendation of a relevant and suitable news article is an essential but a challenging task due to changes in the user interest categories over time. Moreover, the Internet technology provides abundant news articles from a huge amount of resources. Meanwhile, nowadays, many people are confronted with viral news articles through social media cost-free without considering the news sites. Therefore, mining of social media for addressing such viral news articles has become another key challenge. To overcome the above challenges, this paper proposes fuzzy logic approach for predicting users’ dive

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Navya, Vattikonda Anuj Kumar Gupta Achuthananda Reddy Polu Bhumeka Narra and Dheeraj Varun Kumar Reddy Buddula. "Leveraging Deep Learning for Personalized Fashion Recommendations Using Fashion MNIST." International Journal of Multidisciplinary Research in Science and Business 1, no. 7 (2025): 54–77. https://doi.org/10.5281/zenodo.15349661.

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People are particularly conscious of their clothing choices since fashion has a biginfluence on daily life. Large populations are usually recommended fashion goodsand trends by specialists via a manual, curated process. On the other hand, ecommerce websites greatly benefit from automatic, personalized recommendationsystems, which are becoming more popular. This study introduces a deep learningbased framework for personalized fashion recommendation, utilizing the FashionMNIST dataset as the primary data source. The dataset was divided into trainingand testing sets in a 70:30 ratio to ensure rob

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Zheng, Xiao, Fumi Wu, Weizhang Chen, Elham Naghizade, and Kourosh Khoshelham. "Show Me a Safer Way: Detecting Anomalous Driving Behavior Using Online Traffic Footage." Infrastructures 4, no. 2 (2019): 22. http://dx.doi.org/10.3390/infrastructures4020022.

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Real-time traffic monitoring is essential in many novel applications, from traffic management to smart navigation systems. The large number of traffic cameras being integrated into urban infrastructures has enabled efficient traffic monitoring as an intervention in reducing traffic accidents and related casualties. In this paper, we focus on the problem of the automatic detection of anomalous driving behaviors, e.g., speeding or stopping on a bike lane, by using the traffic-camera feed that is available online. This can play an important role in personalized route-planning applications where,

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Yongjun Zhang. "A Recommender System for Personalized Reading Recommendations and Literature Discovery utilizing the HGRNN-EOO technique." Journal of Electrical Systems 20, no. 3s (2024): 2283–96. http://dx.doi.org/10.52783/jes.3053.

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Recommender systems are used to address information overload, enhance personalization, and improve user experience by providing tailored suggestions based on individual preferences, thereby increasing engagement and facilitating content discovery. This paper proposes a hybrid approach for recommender system in personalized reading recommendation and literature discovery. The proposed hybrid approach is the combined performance of both the Hierarchal Gated Recurrent Neural Network (HGRNN) and Eurasian Oystercatcher Optimizer (EOO).Commonly it is named as HGRNN-EOO technique. The major objective

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Hui, Shuyue, and Yuanyuan Zhang. "A Virtual Reality Gearbox Experiment Platform Based on Hand Tracking and Natural Language Processing." Frontiers in Computing and Intelligent Systems 9, no. 3 (2024): 56–63. http://dx.doi.org/10.54097/kxbmxd41.

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In manufacturing engineering education, the gearbox is an essential mechanical component and a fundamental skill students must master. Recent data suggests that insufficient understanding of its load capacity and exceeding operational limits can damage internal components, potentially leading to severe consequences like fires. In order to address the challenges faced by physical laboratories and existing traditional virtual labs in the new engineering disciplines, including the lack of insufficient experimental safety, operational real-ism, insufficient personalized learning support, and the d

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A, Akshay. "Analysis of Model Progression and Parity in Personalized Modeling of Lipsync Decoder to Cater Hearing Impaired Individuals." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29627.

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The Analysis of model progression and parity in personalized modeling of Lipsync decoder to cater hearing impaired individuals aims to enhance communication accessibility for hearing-impaired individuals by understanding flaws in and helping bring light to them translating visual cues from lip movements into intelligible speech through advancements in machine learning and computer vision. This paper delves into the analysis of model progression and parity in personalized modeling of Lipsync decoder technology to enhance communication accessibility for hearing-impaired individuals. By implement

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Papa, Venetia, and Thomas Photiadis. "Algorithmic Curation and Users’ Civic Attitudes: A Study on Facebook News Feed Results." Information 12, no. 12 (2021): 522. http://dx.doi.org/10.3390/info12120522.

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Facebook users are exposed to diverse news and political content; this means that Facebook is a significant tool for the enhancement of civic participation and engagement in politics. However, it has been argued that Facebook, through its algorithmic curation reinforces the pre-existing attitudes of individuals, rather than challenging or potentially altering them. The objective of this study is to elucidate the emotional and behavioural impact of the personalization of Facebook users’ News Feeds results, and thereby to uncover a possible link between their online and offline civic attitudes.

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Rozprawy doktorskie na temat "Personalized Feed"

Bahceci, Oktay. "Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210252.

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Information Filtering and Recommender Systems have been used and has been implemented in various ways from various entities since the dawn of the Internet, and state-of-the-art approaches rely on Machine Learning and Deep Learning in order to create accurate and personalized recommendations for users in a given context. These models require big amounts of data with a variety of features such as time, location and user data in order to find correlations and patterns that other classical models such as matrix factorization and collaborative filtering cannot. This thesis researches, implements an

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Reyes, Ulises Uriel. "Deal Organizer : personalized alerts for shoppers." Thesis, 2012. http://hdl.handle.net/2152/ETD-UT-2012-08-6247.

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Deal Organizer is a web-based application that scans multiple websites for online bargains. It allows users to specify their preferences in order for them to receive notifications based on personalized content. The application obtains deals from other websites through data extraction techniques that include reading RSS feeds and web scraping. In order to better facilitate content personalization, the application tracks the user's activity by recording clicks on both links to deals and rating buttons, e.g., the Facebook like button. Due to the dynamic nature of the source websites offering

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Książki na temat "Personalized Feed"

Feed Your Skin Right: Your Personalized Nutrition Plan for Radiant Beauty. ChangeWell, Incorporated, 2022.

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Tager, Mark. Feed Your Skin Right: Your Personalized Nutrition Plan for Radiant Beauty. ChangeWell, Incorporated, 2022.

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Publications, Sandovalz. I'm Ferd Doing Ferd Things: Lined Notebook with Personalized Name Ferd - Custom Name Gift, 6x9 120 Pages. Independently Published, 2021.

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Kant, Tanya. Making it Personal. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190905088.001.0001.

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The encounter of “personalized experiences”—targeted advertisements, tailored information feeds, and “recommended” content, among other things—is now a common and somewhat inescapable component of digital life. More often than not however, “you” the user are not primarily responsible for personalizing your web engagements: instead, with the help of your search, browsing, and purchase histories, your “likes,” your click-throughs, and a multitude of other data you produce as you go about your day, your experience can “conveniently”—and computationally—be personalized on your behalf. This book ex

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Segal, Eran, and Eran Elinav. Personalized Diet: The Revolutionary Plan to Help You Lose Weight, Prevent Disease and Feel Incredible. Ebury Publishing, 2017.

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Hviid, Pernille, and Jakob W. Villadsen. Playing and Being. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190468712.003.0007.

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In this chapter, we investigate imagination in children’s pretend play in a cultural life course perspective. This perspective underlines the relation between play and the cultivated and personalized life of the players. It points to the processes in which meaning making takes place through play: imaginative playing transcends the immediate context of the play and feeds back to the player as engaged an being-in-the-world with others, contributing to the directionality of the cultural life course on social as well as personal levels. Whereas play is generally recognized as an important developm

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Personalised Diet: The Revolutionary Plan to Help You Lose Weight, Prevent Disease and Feel Incredible. Penguin Random House, 2018.

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Garvey, Niamh. Looking After Your Autistic Self. Jessica Kingsley Publishers, 2023. http://dx.doi.org/10.5040/9781805016991.

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‘I no longer try to mask my autism; I now work to support my autism’ It is a myth that autistic children grow into ‘less autistic’ adults. In fact, many autistic adults feel more overwhelmed as they age as the stresses of social demands such as relationships, parenting, or the work environment increase. Niamh Garvey offers tips and tricks designed to reduce sensory and emotional stress and look after your autistic self. From understanding what’s happening when the stress response kicks in to using the ‘detective habit’ to spot your individual strengths and triggers. What’s more, every element

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Dedomenico, Mark, and Connie Guttersen. Love Diet: A Personalized, Proven Program That Changes the Way You Feel to Transform the Way You Look. HarperCollins Publishers, 2016.

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author, Dedomenico Mark, ed. The love diet: A personalized, proven program that changes the way you feel to transform the way you look. 2016.

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Części książek na temat "Personalized Feed"

Takami, Kyosuke, Ryosuke Nakamoto, Yiling Dai, Brendan Flanagan, and Hiroaki Ogata. "Pilot Study of Self-explanation Based Automate Stuck Point Detection and Personalized Feed-Back Recommendation by Educational eXplainable AI Tool in Middle School Math Classes." In Communications in Computer and Information Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-99261-2_11.

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Yu, Pengqian, Achintya Kundu, Laura Wynter, and Shiau Hong Lim. "Personalized, Robust Federated Learning with Fed+." In Federated Learning. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96896-0_5.

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Orlova, Nadezhda, Evgenia Serova, Vladimir Popov, and Marina Petukhova. "Key Areas of the Agricultural Science Development in Russia in the Context of Global Trends and Challenges." In Science and Innovations for Food Systems Transformation. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-15703-5_42.

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AbstractThe modern Russian agrifood industry is a steadily developing sector of the national economy. The production of a number of goods has reached historically high levels. Russia has a strong position in the export of agricultural raw material commodities, while the country remains dependent on imports from other countries. This chapter examines critical areas of scientific research in Russia that will create opportunities for increasing competitiveness in the transition of the world food systems from conventional agriculture to Agriculture 4.0. Science and technology-based innovations for

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Tejada Jacob, Guillermo, Guillermo R. Castro, and Vera A. Alvarez. "Nanotechnology Applied to Personalized 3D Dressings for Diabetic Feet." In Handbook of Consumer Nanoproducts. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-6453-6_45-1.

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Tejada Jacob, Guillermo, Guillermo R. Castro, and Vera A. Alvarez. "Nanotechnology Applied to Personalized 3D Dressings for Diabetic Feet." In Handbook of Consumer Nanoproducts. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8698-6_45.

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Belkacem, Sami, Kamel Boukhalfa, and Omar Boussaid. "Ranking Social Media News Feeds: A Comparative Study of Personalized and Non-personalized Prediction Models." In Artificial Intelligence and Its Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96311-8_19.

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Berkovsky, Shlomo, and Jill Freyne. "Personalised Network Activity Feeds: Finding Needles in the Haystacks." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14723-9_2.

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He, Li, Kangqi Luo, Zhuoye Ding, Hang Shao, and Bing Bai. "A Reinforcement Learning Approach for Personalized Diversity in Feeds Recommendation." In Artificial Intelligence. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9119-8_42.

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Loke, Kum Yew, Sherwin Stephen Chan, Mingyuan Lei, Henry Johan, Bingran Zuo, and Wei Tech Ang. "Personalised 3D Human Digital Twin with Soft-Body Feet for Walking Simulation." In Lecture Notes in Computer Science. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-8963-4_9.

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Silva, Carlos, David Campelo, Telmo Silva, and Valter Silva. "System Architecture for Personalized Automatic Audio-Visual Content Generation from Web Feeds to an iTV Platform." In Communications in Computer and Information Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63321-3_1.

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Streszczenia konferencji na temat "Personalized Feed"

Li, Huajing, Yuan Tian, Wang-Chien Lee, C. Lee Giles, and Meng-Chang Chen. "Personalized Feed Recommendation Service for Social Networks." In 2010 IEEE Second International Conference on Social Computing (SocialCom). IEEE, 2010. http://dx.doi.org/10.1109/socialcom.2010.23.

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Marques, Maria, Fabio Lopes, Ruben Costa, Carlos Agostinho, Pedro Oliveira, and Ricardo Jardim-Goncalves. "Innovative Product/Service for Personalized Health Management." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11711.

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Abstract Smart4Health project is a European project aiming to empower citizens with electronic health(care) record exchange, personal connected health services, and the ability of data donorship to the scientific community. The Smart4Health platform will enable citizens to manage, collect, store, access and share own health and healthcare data, at international level, through an easy-to-use, secure, constantly accessible and portable health data and services prototype within the EU and beyond. This shall also comprise self-quantified and citizen-generated data through IoT and wearables (e.g. s

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Janoschka, Anja, Thomas Wozniak, Larissa Dahinden, and Matthias Albisser. "How Consumers Progress to More Advanced Levels of Data-based Products and Services: A Scenario-Based Approach." In Digital Restructuring and Human (Re)action. University of Maribor Press, 2022. http://dx.doi.org/10.18690/um.fov.4.2022.33.

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Data-based products and services (DBPS) utilise personal data to enhance their capabilities and provide consumers with a more intelligent and personalized experience. As a result, the experience of DBPS is fluid – the amount of data consumers feed into the product determines their experience. However, barriers such as privacy concerns hinder the progression to a more pronounced level at different thresholds. We developed and employed a scenario-based prospective incident technique to analyse how consumers experience DBPS at certain levels and how they advance from one level to another. Results

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Zinati, Reza Farshbaf, Mohammad Reza Razfar, and Mehdi Haghi. "Investigation of the Machinability of PA-6/nano-CaCO3 Composite." In ASME 2012 International Manufacturing Science and Engineering Conference collocated with the 40th North American Manufacturing Research Conference and in participation with the International Conference on Tribology Materials and Processing. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/msec2012-7203.

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Nowadays, polymer nano-composites have attracted manufacturers’ attention because of good mechanical, thermal, and physical properties. During the past decade, the requirement of the direct machining of polymer nano-composites increases because most of the polymer nano-composites were produced by extrusion method in simple cross section shapes and request for personalized products increases. In this study, the effect of milling parameters (spindle speed and feed per tooth) and nano-CaCO3 content on the machinability properties of PA-6/nano-CaCO3 composites was studied by means of analysis of v

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Nicolau, Felix. "SYNCHRONOUS AND ASYNCHRONOUS E-LEARNING WITH THE HELP OF WEBLOG." In eLSE 2012. Editura Universitara, 2012. http://dx.doi.org/10.12753/2066-026x-12-130.

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E-learning swiftly evolved to m-learning, which relies on mobile technology. Thus, the weblog continuously contains the blogger and education becomes edutainment (education + entertainment) (Morgan-Klein & Osborne 2007). Teachers can permanently maintain contact with their students offering feed-back on their blogs and initiating discussions. If coordinated, the activity on personal blogs becomes reflection in action (Kidd & Keengwe 2010). The blog functions as a platform of interaction and becomes an e-portfolio. The new type of portfolio implies personalization and assimilation of di

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Backstrom, Lars. "Serving a Billion Personalized News Feeds." In WSDM 2016: Ninth ACM International Conference on Web Search and Data Mining. ACM, 2016. http://dx.doi.org/10.1145/2835776.2835848.

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Hawthorne, Bryant, Zhenghui Sha, Jitesh H. Panchal, and Farrokh Mistree. "Developing Competencies for the 21st Century Engineer." In ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/detc2012-71153.

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This is the second paper in a four-part series focused on a competency-based approach for personalized education in a group setting. In the first paper, we focus on identifying the competencies and meta-competencies required for the 21st century engineers. In this paper, we provide an overview of an approach to developing competencies needed for the fast changing world and allowing the students to be in charge of their own learning. The approach fosters “learning how to learn” in a collaborative environment. We believe that two of the core competencies required for success in the dynamically c

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Puzankova, Viktoriia, Oleg Faitas, and Yuri Tyhun. "Conceptual structure of application for personalized news feeds." In 2016 XII International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH). IEEE, 2016. http://dx.doi.org/10.1109/memstech.2016.7507519.

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Zhang, Yuqing, Shengfeng Qin, and Chenyu Ge. "Leveraging Digital Twins and Generative AI to Alleviate Loneliness Among Elderly Adults Living Alone Through Smart Flowerpot Design." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006632.

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Loneliness and Social Isolation from elder people present a critical factor in different diseases of aging, necessitating tailored intervention for individuals to effectively engaging with interventions and interacting to their stakeholders. A great deal of research efforts has been made to tackle the challenging issues related to loneliness and social isolations of elder people, mainly focusing on develop various personal and group interventions such as social robots, group/community activity interventions, serious games, and Chatbots. The key barrier to have long-term impacts from these inte

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Herath, H. M. D. C., and B. L. D. Seneviratne. "How does personalization of the products affect consumers’ attitudes toward the product." In International Conference on Business Research. Business Research Unit (BRU), 2024. https://doi.org/10.31705/icbr.2024.4.

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In the present marketing landscape, brands are competing for attention, and companies are eager to build closer relationships with their consumers. This study extends the scope of personalization by deeply embedding consumers into the core of the products they engage with, enhancing their experience through personalized interactions. The drivers of consumer interest in personalized products and the ways in which personalization shapes overall experiences remain unclear in existing findings, particularly when consumers exhibit unexpected reactions. The research discusses how product personaliza

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Raporty organizacyjne na temat "Personalized Feed"

Arteaga, Felipe, Gregory Elacqua, Thomas Krussig, Carolina Méndez, and Christopher Neilson. Can Information on School Attributes and Placement Probabilities Direct Search and Choice? Evidence from Choice Platforms in Ecuador and Peru. Inter-American Development Bank, 2022. http://dx.doi.org/10.18235/0004672.

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This paper evaluates how new information influences families applica- tions and assignment outcomes in elementary school choice settings. Specifi- cally, using a multi-country RCT based in Tacna, Peru and Manta, Ecuador, we examine the effect of providing personalized information on schooling alternatives and placement risk. We find that applicants who received feed- back on placement risk and a suggestion of new schools add more schools to their applications and were more likely to include recommended schools than other alternatives available. Interestingly, the project implemented in Manta,

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Dyulicheva, Yulia Yu, Yekaterina A. Kosova, and Aleksandr D. Uchitel. he augmented reality portal and hints usage for assisting individuals with autism spectrum disorder, anxiety and cognitive disorders. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4412.

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The augmented reality applications are effectively applied in education and therapy for people with special needs. We propose to apply the augmented reality portal as a special tool for the teachers to interact with people at the moment when a panic attack or anxiety happens in education process. It is expected that applying the augmented reality portal in education will help students with ASD, ADHD and anxiety disorder to feel safe at discomfort moment and teachers can interact with them. Our application with the augmented reality portal has three modes: for teachers, parents, and users. It g

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