A Novel Preferential Diffusion Recommendation Algorithm Based on User’s Nearest Neighbors by Fuguo Zhang, Yehuan Liu, Qinqiao Xiong

“…Recommender system is a very efficient way to deal with the problem of information overload for online users. In recent years, network based recommendation algorithms have demonstrated much better performance than the standard collaborative filtering methods. …”
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Theory of Faults (ToF): Numerical Quality Management in Complex Systems by Niv Yonat, Igal M. Shohet

“…A statistical analysis provides a phase parameter, descriptive statistics elucidate trending and emergent behaviors, digital signal processing expounds the effects of signals on information overload, and a directed-network analysis portray morphology, entropy, and time effects. …”
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Digital stress among Chinese adolescents: a focus group study by Zhang Wen, Chen Yifan, Cao Gaohui

“…Such differences were both manifested in better tolerance of certain stressors (e.g. online vigilance or information overload) and in the emergence of novel stressors, such as obligation resentment and social concerns.…”
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Politics Under Electronic Simultaneity by V. P. Terin

“…The article also deals with the information overload and pattern recognition problem understood in managerial terms as well as mythologization and demythologization processes as they are necessitated by the electronic media coverage worldwide.…”
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The dream that never dies: the ideals and realities of cosmopolitanism in science, 1870–1940 by Robert Fox

“…One was the fear of information overload. How were scientists to keep abreast of the growing volume of books, journals, and reports? …”
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Personalized Recommendation Model of High-Quality Education Resources for College Students Based on Data Mining by Chaohua Fang, Qiuyun Lu

“…The development of education informatization has led to a rapid increase in the number of online learning users and an explosion in the number of learning resources, which makes learners face the dilemma of “information overload” and “learning lost” in the learning process. …”
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Automatic Recommendation Algorithm for Video Background Music Based on Deep Learning by Hong Kai

“…As one of the traditional entertainment items, video background music has gradually changed from traditional consumption to network consumption, which naturally also has the problem of information overload. From the perspective of model design and auxiliary information, this paper proposes a tightly coupled fusion model based on deep learning and collaborative filtering to alleviate the problem of poor prediction accuracy due to sparse matrix in the scoring prediction problem. …”
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FACTORS AFFECTING ADVERTISING AVOIDANCE ON FACEBOOK OF TEENAGERS IN HOCHIMINH CITY by Hồ Trúc Vi, Phan Trọng Nhân

“…The test results show that privacy concerns, impediments to awareness, information overload, and negative experiences are factors that strongly impact advertising avoidance. …”
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News Recommendation Method Based on Candidate-Aware Long- and Short-Term Preference Modeling by Shuhao Jiang, Haoran Song, Yizi Lu, Zhixin Zhang

“…Personalized news recommendations focus on providing users with news that fits their interests and alleviates their information overload. User preference modeling is crucial for achieving personalized news recommendations, and user preferences are usually expressed as long-term and short-term user preferences. …”
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Less Is More in Digital Games Too: A Comparative Analysis of Visual Elements of Physical and Digital Versions for Two Tabletop Games by Darijo Čerepinko, Robert Štefanović, Krunoslav Hajdek, Petar Miljković

“…On closer inspection, the results show that the tendency to overload user interfaces with an abundance of interactive and visually enhanced features may reduce game enjoyment and overall satisfaction with the game, presumably due to factors such as information overload and cognitive distraction. In conclusion, it seems that the rule “less is more” could also be applied to the digital transition explained in this article.…”
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DeepFusion: Fusing User-Generated Content and Item Raw Content towards Personalized Product Recommendation by Mingxin Gan, Hang Zhang

“…Personalized recommender systems, as effective approaches for alleviating information overload, have received substantial attention in the last decade. …”
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Investigating key elements of digital resilience among nursing undergraduates: a qualitative study by Fanfan Li, Qiuping Ma, Chunxiao Yang, Mingyang Zhong

“…ObjectiveTo explore key elements of digital resilience in nursing undergraduates, providing a foundation for comprehensive assessment and training during medical colleges’ digital transformation.MethodsConducted semi-structured interviews with 20 nursing undergraduates experienced in online learning or digital resource use from March–May 2024, utilizing descriptive qualitative research and directed content analysis.ResultsIdentified five themes with nineteen sub-themes: understanding digital threats (information overload, decreased learning engagement, impaired social interaction, digital technology failures, digital security risks), knowing coping strategies (seeking teacher support, seeking peer support, seeking social support), learning knowledge and skills (nursing expertise, autonomous learning ability, digital technology application skills, digital learning skills, digital communication skills), overcoming digital threats stress (psychological resilience, learning perseverance), and adapt to digital environment (self-regulation and motivational efficacy, online learning self-efficacy, digital skills self-efficacy, social interaction self-efficacy).ConclusionNursing undergraduates’ digital resilience is multifaceted. …”
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A Hierarchical Attention Recommender System Based on Cross-Domain Social Networks by Rongmei Zhao, Xi Xiong, Xia Zu, Shenggen Ju, Zhongzhi Li, Binyong Li

“…Search engines and recommendation systems are an essential means of solving information overload, and recommendation algorithms are the core of recommendation systems. …”
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An Integrated Support to Collaborative Semantic Annotation by Annamaria Goy, Diego Magro, Giovanna Petrone, Claudia Picardi, Marco Rovera, Marino Segnan

“…Everybody experiences every day the need to manage a huge amount of heterogeneous shared resources, causing information overload and fragmentation problems. Collaborative annotation tools are the most common way to address these issues, but collaboratively tagging resources is usually perceived as a boring and time consuming activity and a possible source of conflicts. …”
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Perception among Healthcare Professionals of the Use of Social Media in Translating Research Evidence into Clinical Practice in Mangalore by Bhaskaran Unnikrishnan, Priya Rathi, Daivik Shah, Abhay Tyagi, Anish V. Rao, Koyel Paul, Joe Tomy

“…Perceived barriers were the privacy concern, unprofessional behavior, lack of reliability, and information overload. Conclusion. There is a need for the development of appropriate guidelines for sharing the research output among various stakeholders using social media.…”
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The Collaborative Search by Tag-Based User Profile in Social Media by Haoran Xie, Xiaodong Li, Jiantao Wang, Qing Li, Yi Cai

“…The rapid growth of user-generated data results in the problem of information overload to users. Facing such a tremendous volume of data, it is a big challenge to assist the users to find their desired data. …”
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LANGUAGE SPACE OF NEURAL NETWORKS: FEATURES AND DIFFERENCES FROM NATURAL LANGUAGE by Natalia B. Egorchenkova, Olga V. Korobova

“…Modern society is developing in a world of information overload and digitalization, which has led to a need for artificial intelligence (AI) to help analyze and process information more efficiently. …”
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Signals of propaganda-Detecting and estimating political influences in information spread in social networks. by Alon Sela, Omer Neter, Václav Lohr, Petr Cihelka, Fan Wang, Moti Zwilling, John Phillip Sabou, Miloš Ulman

“…Furthermore, with the recent exponential growth in large language models (L.L.M), and the growing concerns about information overload, which makes the alternative truth spheres more noisy than ever before, the complexity and magnitude of computational propaganda is also expected to increase, making their detection even harder. …”
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Digital Media Hotspot Mining Algorithm Implementation with Complex Systems in the Mobile Internet Environment by Yufeng Jia, Sang-Bing Tsai

“…Internet hot events mining and analysis technology can effectively solve the above problems by alleviating information overload, integrating redundant information, and refining core information. …”
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User avoidance behavior in pharmaceutical e-commerce intelligent customer service: a stressor-strain-outcome perspective by Jing Jia, Lu Chen, Chengzhen Wu, Manling Xiao

“…The study employed SPSS for data normality tests and SmartPLS for structural equation modeling to analyze the relationships between emotional stress, system overload, and user avoidance behavior.ResultsThe findings indicate that system overload, information overload, and service overload significantly contribute to user emotional stress, which in turn drives avoidance behavior. …”
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