Relevant bibliographies by topics / Adaptation of the content internet user analysis of user behavior

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Academic literature on the topic 'Adaptation of the content internet user analysis of user behavior'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Adaptation of the content internet user analysis of user behavior"

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Su, Jiayi. "Content Ecosystem Construction of Soul App: Analysis based on User Behavior." Highlights in Business, Economics and Management 46 (December 24, 2024): 28–33. https://doi.org/10.54097/ea5b2s66.

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In the era of rapid development of mobile Internet, Soul App, as a new social star focusing on soul communication and interest matching, its content ecosystem construction is crucial to consolidate its market position and enhance user experience. This study uses the SWOT analysis framework to assess the strengths, weaknesses, opportunities, and threats that Soul App faces in building a content ecosystem based on user behavior data. The study shows that Soul App demonstrates strong momentum in terms of user size, usage hours, and activity. However, Soul App still has potential for improvement i
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Zhou, Jinge. "Research on the Influence of social media on Internet Consumption Behavior from the Perspective of Consumer Culture." BCP Business & Management 50 (September 22, 2023): 141–46. http://dx.doi.org/10.54691/bcpbm.v50i.5581.

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How knowledge sharing in the discussed community influences users' purchasing decisions. And then put forward the management strategy to improve the user's usage behavior in the community. This topic will focus on the "TikTok" social media. Through empirical analysis, this paper explores how business users can influence customer purchasing behavior through information sharing in the social media environment. The results show that the factors such as user interaction mode, user perceived risk and user occupation level have positive effects on user purchase decision. The knowledge sharing proces
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Li, Zhen, Shuo Xu, and Tianyu Wang. "A Method of Interest Degree Mining Based on Behavior Data Analysis." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 09 (2019): 2059030. http://dx.doi.org/10.1142/s0218001420590302.

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Based on big data, this paper starts from the behavior data of users on social media, and studies and explores the core issues of user modeling under personalized services. Focusing on the goal of user interest modeling, this paper proposes corresponding improvement measures for the existing interest model, which has great difference in interest description among different users and it is difficult to find the user interest change in time. For the above problems, this paper takes user-generated content and user behavior information as the analysis object, and uses natural language processing,
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Xue, Fei. "Revolutionizing the cultural industry: The transformative power of data processing algorithms." Applied and Computational Engineering 57, no. 1 (2024): 172–77. http://dx.doi.org/10.54254/2755-2721/57/20241329.

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This paper provides a comprehensive analysis of the impact of data processing algorithms on the cultural industry, focusing on user behavior analysis, dynamic content adaptation, content discovery, efficient distribution networks, and driving creative innovation. Through the application of sophisticated machine learning models and quantitative analysis, this study demonstrates the transformative potential of algorithms in enhancing user engagement, optimizing distribution channels, and fostering creative innovation. By analyzing vast datasets from leading cultural content platforms, social med
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Li, J. W., W. D. Chen, Y. Ma, N. Yu, X. Li, and J. W. Jiang. "RESEARCH ON BEHAVIORAL MOTIVATION INFERENCE METHOD FOR GEOGRAPHICAL SPATIOTEMPORAL LARGE DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 7, 2020): 725–29. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-725-2020.

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Abstract. Along with the rapid development of Internet technology, GNSS technology and mobile terminals, a large amount of information including geographical location and time attributes has been generated. Faced with large and complex Internet geospatial data, how to quickly and accurately extract valuable reference information becomes an urgent problem to be solved. And the user's demand for personalized information of recommendation information is getting stronger and stronger, and researching efficient and accurate personalized recommendation system has good application value. In this pape
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Wu, Hui Juan, Bao Xiang Xu, and Qing Song Tang. "Research of Personalized Information Recommendation Theory Model Based Web 3.0." Advanced Materials Research 679 (April 2013): 137–42. http://dx.doi.org/10.4028/www.scientific.net/amr.679.137.

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In Web 3.0 times, Internet and Electronic Commerce develop rapidly, it is necessary to solve the problem which is how to recommend the personalized information to the user when the user faces numerous of information. But now, it is only studied from three aspects: collaborative filtering, content analysis, associated rules, which belong to the two sides based on the user and the goods. All of them dig the information from the individual records of history, or the user who similar to the record of history. After analyzing the content of web 3.0, this paper point out how to mining information fr
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Ma, Zirui, and Bin Gu. "The influence of firm-Generated video on user-Generated video: Evidence from China." International Journal of Engineering Business Management 14 (January 2022): 184797902211186. http://dx.doi.org/10.1177/18479790221118628.

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We examined the impact of firm-generated content on firm-related user-generated content. Researches have proven that firm-related user-generated content impacts firm revenue. Therefore, it is necessary to determine what factors stimulate the creation of firm-related user-generated content. Creating user-generated videos related to companies (e.g. E-sports) on Chinese online video platforms often includes the use of firm-generated videos as material. It may suggest that firm-generated content may play an essential role in influencing Internet users to create firm-related user-generated content.
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Ghose, Anindya, and Sang Pil Han. "An Empirical Analysis of User Content Generation and Usage Behavior on the Mobile Internet." Management Science 57, no. 9 (2011): 1671–91. http://dx.doi.org/10.1287/mnsc.1110.1350.

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Fedorko, Igor, Radovan Bačik, and Beata Gavurova. "Analysis of selected technology acceptance model constructs and their impact on user behavior." Innovative Marketing 18, no. 3 (2022): 72–83. http://dx.doi.org/10.21511/im.18(3).2022.07.

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Nowadays, when the Internet is a regular part of people’s life in competitive conditions, it is essential to emphasize user feelings about the products, especially in the context of web pages. The study aims to clarify the significance of selected Technology Acceptance Model elements concerning user behavior in the web area. The study applied an exploratory method using an anonymous questionnaire in electronic form (Likert scale). This study’s respondents were website users, visitors, or internet users within the EU. Adequacy of the research sample was measured using Cronbach’s alpha and Kaise
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Rohit Sharma. "Data-Driven Personalization : Revolutionizing User Experience." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 5 (2024): 868–77. http://dx.doi.org/10.32628/cseit241051075.

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Data-driven personalization has emerged as a transformative approach in digital user experience design, leveraging advanced analytics and machine learning to tailor content and interfaces to individual users. This article explores five key aspects of data-driven personalization: user behavior analysis, segmentation and targeting, machine learning algorithms, real-time adaptation, and privacy and ethical considerations. It examines the significant impact of personalization on business outcomes, including increased revenue and customer engagement, while also addressing implementation challenges,
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Dissertations / Theses on the topic "Adaptation of the content internet user analysis of user behavior"

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Гончаренко, В. С., Віра Вікторівна Шендрик, Вера Викторовна Шендрик та Vira Viktorivna Shendryk. "Адаптація контенту під вимоги користувача". Thesis, Сумський державний університет, 2017. http://essuir.sumdu.edu.ua/handle/123456789/65672.

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Метою роботи є створення програмного веб-додатку, який надає можливість вибрати найбільш актуальний контент для конкретного користувача. Дане завдання повинне виконуватися з використанням таких сучасних технологій, як Node.js, Vue.js та інші.
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Farahbakhsh, Reza. "Profiling professional and regular users on popular Internet services based on implementation of large scale Internet measurement tools." Thesis, Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0012/document.

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Les services Internet populaires modèlent et remodèlent fondamentalement les moyens traditionnels de communication des personnes, ayant ainsi un impact majeur sur leur vie sociale. Deux des services Internet très populaires avec cette caractéristique sont les Réseaux sociaux en ligne (OSN) et les systèmes Peer-to-Peer (P2P). Les ONS fournissent un environnement virtuel où les gens peuvent partager leurs informations et leurs intérêts tout en étant en contact avec d'autres personnes. D'autre part, les systèmes P2P, qui sont toujours l'un des services populaires avec une grande proportion de l'e
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Farahbakhsh, Reza. "Profiling professional and regular users on popular Internet services based on implementation of large scale Internet measurement tools." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0012.

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Les services Internet populaires modèlent et remodèlent fondamentalement les moyens traditionnels de communication des personnes, ayant ainsi un impact majeur sur leur vie sociale. Deux des services Internet très populaires avec cette caractéristique sont les Réseaux sociaux en ligne (OSN) et les systèmes Peer-to-Peer (P2P). Les ONS fournissent un environnement virtuel où les gens peuvent partager leurs informations et leurs intérêts tout en étant en contact avec d'autres personnes. D'autre part, les systèmes P2P, qui sont toujours l'un des services populaires avec une grande proportion de l'e
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Books on the topic "Adaptation of the content internet user analysis of user behavior"

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Ufimtseva, Nataliya V., Iosif A. Sternin, and Elena Yu Myagkova. Russian psycholinguistics: results and prospects (1966–2021): a research monograph. Institute of Linguistics, Russian Academy of Sciences, 2021. http://dx.doi.org/10.30982/978-5-6045633-7-3.

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The monograph reflects the problems of Russian psycholinguistics from the moment of its inception in Russia to the present day and presents its main directions that are currently developing. In addition, theoretical developments and practical results obtained in the framework of different directions and research centers are described in a concise form. The task of the book is to reflect, as far as it is possible in one edition, firstly, the history of the formation of Russian psycholinguistics; secondly, its methodology and developed methods; thirdly, the results obtained in different research
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Book chapters on the topic "Adaptation of the content internet user analysis of user behavior"

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Kamahara, Junzo, Takashi Nagamatsu, Masashi Tada, Yohei Kaieda, and Yutaka Ishii. "Instructional Video Content Employing User Behavior Analysis: Time Dependent Annotation with Levels of Detail." In User Modeling, Adaptation, and Personalization. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13470-8_10.

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Mechant, Peter, and Lieven De Marez. "Studying Web 2.0 Interactivity." In Cyber Behavior. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5942-1.ch088.

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With more than one third of the world's population being online, the Internet has increasingly become part of modern living, giving rise to popular literature that often takes a teleological and celebratory perspective, heralding the Internet and Web 2.0 specifically, as an enabler of participation, democracy, and interactivity. However, one should not take these technological affordances of Web 2.0 for granted. This article applies an interaction framework to the analysis of two Web 2.0 websites viewed as spaces where interaction goes beyond the mere consultation and selection of content, i.e
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Chen, Xingyu, Yu You Ling, Xianqi Hu, Xiuchen Lin, and Liang Zhu. "Prediction of Posting Behavior of Online UGC Communities Users Based on Poisson Regression." In Advances in Transdisciplinary Engineering. IOS Press, 2019. http://dx.doi.org/10.3233/atde190149.

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As a new form of Internet service, User Generated Content (UGC) community has gained popularity these years, and also attracts academic attention. The posting behavior of users is an important index to measure whether the users are active or not. Identifying the potential active users in UGC Communities helps the companies make proper management strategies, which renders the prediction of users’ posting behavior important. This study used Poisson regression to examine the effect of users’ past behavior and status on users’ later behavior of posting. The data for analysis were extracted from te
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Kumar, Anup, Shivansh Shrivastava, and Aman Raj. "EXPLORING THE IMPACT OF NEWS APPS (KHABAR): DESIGN, FEATURES, AND USER BEHAVIOR IN THE DIGITAL ERA." In Futuristic Trends in Information Technology Volume 3 Book 1. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bbit1p2ch3.

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The digital age is not complete without news apps, which give people a simple and individualized method to obtain and consume news material. The design, functionality, and user behavior of news applications are the main topics of this study chapter, which explores their development and influence. A navigation drawer, fragments, a view pager with tab layout, loaders, intents, Guardian API integration, JSON parsing, the Glide image loading library, card view, recycler view, and shared preferences are just a few of the features that are explored in this chapter. According to the project summary,
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Verma, Amitabh. "Analytics and Data-driven Marketing." In Marketing in a Digital World: Strategies, Evolution and Global Impact. BENTHAM SCIENCE PUBLISHERS, 2025. https://doi.org/10.2174/9789815305456125010012.

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The chapter “Analytics and Data-Driven Marketing” is an essential exploration of how contemporary businesses utilize data in shaping and refining their digital marketing strategies. It underlines the transformative impact of analytics in understanding customer behavior, optimizing user experience, and evaluating the effectiveness of marketing campaigns. Central to this discussion are two primary areas: understanding user behavior and measuring campaign performance. In understanding user behavior, the chapter delves into how analytics tools offer insights into user interactions across digital p
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Lepouras, George, and Costas Vassilakis. "Adaptive Virtual Reality Shopping Malls." In Virtual Technologies. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-955-7.ch099.

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Firms and organizations are increasingly exploiting electronic channels to reach their customers and create new business opportunities. To this end, electronic shops have been developed, either offering products from a single firm or encompassing multiple individual electronic stores, comprising thus electronic shopping malls. Besides development activities, electronic shopping has attracted the attention of researchers, who have studied various perspectives, including user attitude, critical success factors, security, technical aspects, and so forth (e.g., Fang & Salvendy, 2003; Wang, Mak
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Berning, Sue Claire. "Alibaba's International Digital Marketing Practices and Strategies." In Advances in Marketing, Customer Relationship Management, and E-Services. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8003-5.ch005.

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In this chapter, the main relationship between a company's use of data-driven methods and its international digital marketing strategies are examined. In particular, the question of how data-driven methods, like consumer analytics, helped the company in its internationalization efforts are outlined. By following the case study approach, the diverse digital business models, online advertising campaigns, and international digital marketing practices of the Chinese company Alibaba are investigated. As China's e-commerce market currently became one of the most dynamic ones in the world, and as Ali
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Valdés-Conca, Jorge, and Lourdes Canós-Darós. "B2E Relationships, Intranets, and Competency Management." In Encyclopedia of Human Resources Information Systems. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-883-3.ch012.

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Achieving success in today’s uncertain environment is a complex and dynamic task. Companies are forced to make keen decisions for survival, anticipating and even provoking the changes of the environment. In this context, the role played by the employees is the key to achieve such a goal. They are required to develop the adequate skills, attitudes, and behaviors for reaching excellent results in their daily tasks, in order to comply with the adaptation needs of the firm. For an efficient management of the staff, human resources (HR) managers may use several means. Two of most outstanding are th
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Conference papers on the topic "Adaptation of the content internet user analysis of user behavior"

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Zhu, Zhiyuan, and Garret Washburn. "A Smart Chrome Extension for Web Content Analysis and Distraction Mitigation using Artificial Intelligence and Machine Learning." In 6th International Conference on Artificial Intelligence and Big Data. Academy & Industry Research Collaboration Center, 2025. https://doi.org/10.5121/csit.2024.150108.

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The temptation to lose oneself in the digital world is more prevalent now in the present state of the internet than ever before. Many internet users often fall into this temptation, voiding their efforts to get any productive work done that they may need to utilize their internet browser. To solve this problem, this paper proposes the ScreenTimeSage Chrome Extension available on the Chrome Web Store [12]. The ScreenTimeSage Chrome Extension seeks to remedy this issue of internet users getting off task but utilizing AI to analyze their specific browsing behavior and analyzing where and how they
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Liao, Shu-hsien, and Yao-hsuan Yang. "Social media and internet celebrity for social commerce intentional and behavioral recommendations." In Human Interaction and Emerging Technologies (IHIET-FS 2025): Future Systems and Artificial Intelligence Applications. AHFE International, 2025. https://doi.org/10.54941/ahfe1005967.

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Social media is an online media platform based on interests and creative content formed by a group of Internet users. Internet celebrities are people who become famous on the Internet, increasing their popularity by their social networking or video websites. Social commerce (s-ecommerce) is the combination of social relations and commercial transaction activities. The combination of social media and Internet celebrities is an emerging model for the development of s-ecommerce. Recommendation systems are an effective alternative to search algorithms because they help users find items that they a
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Liao, Shu-hsien, and Yao-hsuan Yang. "Social media and internet celebrity for social commerce intentional and behavioral recommendations." In Human Interaction and Emerging Technologies (IHIET-FS 2025): Future Systems and Artificial Intelligence Applications. AHFE International, 2025. https://doi.org/10.54941/ahfe10059725967.

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Social media is an online media platform based on interests and creative content formed by a group of Internet users. Internet celebrities are people who become famous on the Internet, increasing their popularity by their social networking or video websites. Social commerce (s-ecommerce) is the combination of social relations and commercial transaction activities. The combination of social media and Internet celebrities is an emerging model for the development of s-ecommerce. Recommendation systems are an effective alternative to search algorithms because they help users find items that they a
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Fulantelli, Giovanni, Lidia Scifo, and Davide Taibi. "THE ECOLOGICAL SYSTEMS THEORY OF HUMAN DEVELOPMENT TO EXPLORE THE STUDENT-SOCIAL MEDIA INTERACTION." In eLSE 2021. ADL Romania, 2021. http://dx.doi.org/10.12753/2066-026x-21-019.

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According to the Bronfenbrenner's ecological systems theory of human development ([1][2][3][4][5]), the development of each individual cannot be observed without considering its relationship with the development of other people and, above all, with the environment in which they live. The ecological orientation of Bronfenbrenner with respect to human development is therefore based on the interest in the progressive adaptation between an active organism that grows and its immediate environment: the individual-environment interaction that is determined by the relationships existing between the di
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Popa, Aida maria. "BUSINESS INTELLIGENCE IN ELEARNING." In eLSE 2016. Carol I National Defence University Publishing House, 2016. http://dx.doi.org/10.12753/2066-026x-16-034.

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In a society which is currently very dynamic, where the time resource is declining in the lives of people compared with their increasing need of knowledge and access to educational resources, the eLearning platforms have become increasingly necessary. Accessibility is the main feature through which the eLearning platforms are distinguished. These can be accessed regardless of place or time through a device and, if applicable, an Internet connection. The learning process experiences new dimensions thanks to eLearning industry development. Consequently, the platforms whose includes learning mana
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Paletta, Lucas, Andreas Peer, Markus Öttl, et al. "A Framework for Mixed Reality-supported Training of Conflict Resolution and First Responder Skills in International Crisis Situations: SmartSkills." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006097.

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Military first responders and also civilian experts in international peace missions must act quickly and unerringly in complex and dangerous situations under stress. Basic skills must be trained in advance as realistically as possible in order to be able to use them efficiently in later, real-life deployment situations and to reduce the risk potential when deployed to crisis areas. Simulations of concrete conflict scenarios are applied in the biannual “Native Challenge” workshop within a military camp area in the Austrian Alpes that is based on the idea of a cooperation between the “UNESCO Cha
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Bohrmann, Dominique, Moritz Gobbert, Ericson Hoelzchen, et al. "FlexiTeams – An Interactive Visual Representation of AI-based Knowledge to Reorganize Operational Teams in Crises." In AHFE 2023 Hawaii Edition. AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1004192.

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Crises, such as the COVID-19 pandemic, pose unprecedented challenges for governmental or healthcare organizations as well as for the entire industry and the service sector. For instance, shifts in business areas due to increased infection control regulations led to overburdened or underchallenged units within the organizations. Thus, the flexible and highly dynamic adaptation of work processes and team organizations to the changed conditions are essential for maintaining the economic and social infrastructure. The requirements for such a reorganization are constantly changing due to the parall
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