Dynamic Content Delivery Research Articles

Unveiling the Power of AI-Driven Personalization: Transforming Consumer Behavior in the Age of Digital Marketing

Artificial intelligence (AI) is revolutionizing digital marketing, with AI-driven personalization emerging as a powerful tool for shaping consumer experiences and driving engagement. This study explores how AI-powered technologies, such as recommendation engines, dynamic content delivery, and targeted advertisements, are transforming consumer behavior in the digital landscape. By leveraging big data, machine learning, and predictive analytics, marketers are now able to deliver hyper-personalized experiences that cater to individual preferences, leading to enhanced customer satisfaction and increased conversion rates. This research examines the impact of AI-driven personalization on key aspects of consumer behavior, including decision-making processes, brand loyalty, and purchase intentions. Additionally, it addresses the ethical challenges that arise from the use of AI in marketing, particularly around data privacy, algorithmic bias, and consumer trust. Through case studies from various industries, this study provides a comprehensive analysis of how personalization influences consumer psychology and purchasing patterns. Ultimately, the research offers valuable insights into the benefits and risks of integrating AI into marketing strategies, helping businesses understand how to harness the power of AI while maintaining ethical standards and safeguarding customer relationships in an increasingly digital world. Moreover, the study delves into the nuances of AI-driven personalization by exploring how consumers respond differently based on demographic factors such as age, gender, and cultural background. By analyzing customer data in real-time, AI allows for more accurate segmentation, ensuring that marketing messages are highly relevant and resonate with individual consumers. This level of precision not only increases customer engagement but also fosters a sense of exclusivity, making consumers feel more valued and understood by the brand. The research also investigates the role of AI in predicting future consumer behavior, using historical data to forecast trends and preferences, thereby enabling brands to stay ahead of the competition. As AI algorithms continuously learn and adapt, they can refine their recommendations, becoming more effective over time. However, there are concerns about over-reliance on AI, as excessive personalization may lead to "filter bubbles," where consumers are only exposed to a limited range of products or content, potentially stifling creativity and innovation.

AI-Enhanced Digital Learning: Revolutionizing Middle East History Education

This abstract highlights the transformative impact of AI-enhanced digital learning on Middle East history education. By integrating artificial intelligence technologies into educational platforms, personalized learning experiences are offered, catering to diverse student needs and preferences. Through dynamic content delivery, interactive activities, and real-time feedback, learners engage more deeply with complex historical narratives, fostering critical thinking skills and a nuanced understanding of the region’s cultural, political, and social dynamics. This innovative approach not only enhances accessibility to historical knowledge but also revolutionizes traditional pedagogical methods, ushering in a new era of engaging and effective history education in the Middle East.

Using DynaRules to Integrate Context Information in Semantic Correlation Rules for Intelligent Content Delivery

In the past, information deliveries in technical communication were often considered as a normative duty, but has now grown into a knowledge-bearing and knowledge-transmitting medium by more modern approaches of dynamic content delivery. As described in a previous publication [1] implementing and working with semantic correlation rules and knowledge graphs enhances, for example, the contextual understanding of information and the technology of content delivery. The use of various established media technologies, which are explained in detail in this paper, prevents risks such as unclear information management and a lack of transparency. Companies must ensure that necessary information is provided in a simple and targeted manner where it is needed. Therefore, using an efficient system which provides detailed information about products, processes or services, a company is able to create, manage and deliver a high amount of information in a professional way. In an era where efficiency, innovation and speed set the tone, technologies have been developed on the market for creating and delivering content. In this paper we will moreover describe the possible interplay of recent IT architectures, non-linear DynaRules of semantic models and AI extensions to enable metadata-linked content effectively with reduced fuzziness according to the regarded context of intelligent content delivery and information services.

Unraveling the Impact of Fitness Trackers: A Comprehensive Review

In the era of digital transformation, health and fitness have become paramount concerns for individuals seeking a balanced and active lifestyle. The rise of fitness trackers and technology-driven solutions has revolutionized the way people approach their well-being. Utilizing HTML, CSS, JavaScript, React, and database management systems, this research paper develops and implements an innovative fitness tracker website.The fitness tracker website outlined in this study offers a user-centric experience, allowing individuals to set personalized fitness goals and access tailored resources, exercises, and guidance. Through interactive interfaces and real-time data input, users can monitor their progress, receive expert advice, and stay motivated on their fitness journey. The platform's holistic approach encompasses user authentication, goal selection, exercise recommendations, and a comprehensive home page featuring fitness-related content. This research paper delves into the technical aspects of building a fitness tracker website, emphasizing the integration of frontend and backend technologies. The paper discusses the significance of user experience design, data validation, and dynamic content delivery. Furthermore, it explores the practical application of the fitness tracker, highlighting its potential to enhance user engagement, provide valuable fitness insights, and promote a healthier lifestyle.The findings presented in this research paper shed light on the evolution of fitness tracking platforms and their role in empowering individuals to achieve their fitness aspirations. By combining technological innovation with personalized fitness solutions, this fitness tracker website exemplifies a new paradigm in the realm of health and well- being. The study not only showcases the technical intricacies involved in its development but also underscores the broader impact of such platforms on promoting a culture of fitness and wellness in our digital age. KEYWORDS: Machine Health and Wellness , Digital Transformation , Technology-driven Solutions ,Fitness Tracker

Delay-Aware Content Delivery With Deep Reinforcement Learning in Internet of Vehicles

The rapid development of the Internet of Vehicles (IoV) enables various vehicular applications, such as image-aided navigation and traffic information management. It is important to provide efficient content delivery services for these vehicular applications. Caching popular content at roadside units (RSUs) is a promising way to improve content delivery efficiency. However, due to RSUs with limited cache space, it is very challenging to develop an effective content delivery policy that satisfies the high quality of service (QoS) requirements for vehicular applications. In this paper, we investigate the user-centric content delivery problem with service delay constraints in the IoV, where the objective is to minimize the vehicle’s cost under usage-based pricing. The problem of finding an optimal content delivery policy is modeled as a finite-horizon Markov decision process (MDP). Since the cache state of each RSU, and the wireless channel qualities between the vehicle and RSUs, are usually unknown to the vehicle a priori, the vehicle must learn the optimal delivery policy by interacting with the environment. To solve this problem and optimize the vehicle’s cost, we propose a double deep Q network (DDQN)-based algorithm, which implements dynamic content delivery decisions. Furthermore, the double deep Q network can overcome the large-scale state space and reduce Q value over-estimation. Numerical results show that our policy achieves a near-optimal performance when compared to the optimal policy that knows precisely cache state and wireless channel state. We also compare the effects of different caching strategies and vehicle mobility on the performance of the algorithm.

A Secure Dynamic Content Delivery Scheme in Named Data Networking

Named data networking (NDN) is a promising alternative data dissemination technology of TCP/IP communication networks, which can bring out much more cost-effective and resilient communication in a highly mobile environment. However, due to the feature of NDN, content poisoning comes out as a potential threat. Hence, state-of-the-art studies introduce network layer approaches based on name-key binding, in which the producer notifies routers of the bindings of names and key values. Key values include publisher public key digest or content digest. Routers check key values to determine whether incoming data packets have been poisoned. Unfortunately, the approaches lead to more vulnerabilities in dynamic content poisoning because attackers can impersonate the producer to alter or fabricate the bindings. Thus, we introduce a consumer-oriented two-phased lightweight security scheme, which consists of an end-to-end authentication and a packet-level name-key query mechanism. Specifically, the name-key bindings are authenticated via an additional verification by the consumer. Furthermore, we also introduce a novel trust model to help routers to determine and disconnect from the malicious nodes. Finally, our extensive experimental results demonstrate that the scheme can work effectively in improving the vulnerability of existing studies on dynamic content poisoning and lowering the system overhead simultaneously.

Cost Optimization for Dynamic Content Delivery in Cloud-Based Content Delivery Network

Cloud computing is a technology to store, process, and manage the data virtually over remote data centers through the internet. Due to the rapid growth of cloud services, the content distribution network broadly uses them to deliver data all over the globe. Due to the rapid generation of the data, delivering on the network is a challenging problem. As the number of replicas increases, the storage cost will be increased. This is a major issue in cloud-based content delivery networks. To overcome this issue, the authors developed a new model for cloud-based CDN with cost optimization algorithm STLM (storage, traffic, latency, cost minimization) to reduce the number of replicas in order to optimize the cost of storage and cost of content delivery. The authors have compared their proposed STLM algorithm with other existing algorithms. They adopt simulation with YouTube e-learning data retrieval. The proposed algorithm is used to place the contents in an efficient way to the geologically dispersed proxy servers in the cloud to encounter quality of service (QoS) and quality of experience (QoE).

Semantic Correlation Rules as a Logic Layer between Content Management and Content Delivery

Semantic technologies have recently gained considerable influence and attention in the field of technical communication and information management. While metadata management is already a well-known field of content management technologies, its semantic extension addresses more recently, for example, problems of model-based product development and related content engineering processes. On the other hand, dynamic search technology and content delivery can benefit from semantic modelling by enhancing search functionalities or by integrating various data sources utilizing semantic mapping. In this evolving environment, we propose a logical layer of content correlations as so-called semantic correlation rules (SCR). This layer can be understood as an interface between content management systems, semantic modelling systems and content delivery portals. Semantic correlation rules serve as a light-weight ontology consisting primarily of untyped semantic relations between metadata classes. In doing so, class-to-class linking mechanisms can be implemented in content delivery and search environments while serving as a basis for the previously introduced microDoc concept

Cost Effective Approaches for Content Placement in Cloud CDN Using Dynamic Content Delivery Model

Cloud providers give storage access and efficient content placement and delivery services to content providers by optimizing cloud-based content delivery. The cost-efficient model should not only consider the content delivery cost but also the storage cost associated with the cloud network. In this article, a novel cloud-based content delivery model is proposed that uses shared storage models for cost optimization in content delivery. Shared storages are placed in different areas of the content delivery network and an efficient replica placement strategy is employed using optimization techniques. Different content delivery schemes are used in proposed model for different situations and overall content delivery cost is optimized. Experimental results show better performance and lesser cost in terms of storage, traffic and latency and also satisfy Quality-of-Service (QoS) and Quality-of-Experience (QoE) in content delivery using PSO when compared to ACO and GA.

Re-engaging Students by Teaching from the Middle and Back of a 500-seat Lecture Hall

Abstract – To better engage with students, especially in a large traditional classroom, one should consider teaching from multiple locations within the classroom, not just in the front. In classes where computers can be used to project material to the front of the classroom teachers should consider wireless peripherals or computers to achieve dynamic content delivery from beyond the podium. A variety of technologies were examined here, with wireless Wacom drawing tablets paired with either Apple or Windows computers, Miracast-enabled Windows tablets, and Doceri’s Whiteboard mode on Windows tablets and Apple iPads yielding the best results. The Wacom Tablet and Apple Trackpad were found to enable greater engagement of students, from the front to the rear of the classroom. More rigorous tests with the other technologies is to be carried out in the future.

Slack: Adopting Social-Networking Platforms for Active Learning

ABSTRACT Online learning in postsecondary institutions has increased dramatically across the United States and Canada. Although research demonstrates the benefits of online learning for student success, instructors face challenges in facilitating communication, delivering course content, and navigating outdated and cumbersome technologies. The authors examine the use of a free third-party platform called Slack as a tool to facilitate better communication among students and faculty, enable the delivery of diverse and dynamic course content, and reach students in an online course that supports both independent and collaborative learning. The authors present a case study of Slack’s use in an online second-year environmental politics course taught at a large Canadian public university. There is a significant and growing literature on how to best engage students in online learning, including active and social learning models as promising approaches to digital teaching. The authors argue that using collaborative social technologies such as Slack—which both replicates and integrates the online and social-media environments that students already inhabit—can assist faculty in meeting their pedagogical goals online. The article documents the instructors’ experience in managing discussion and involving students in their online learning through active learning exercises. Best practices are examined.

Re-Designing Dynamic Content Delivery in the Light of a Virtualized Infrastructure

We explore the opportunities and design options enabled by novel SDN and NFV technologies, by re-designing a dynamic content delivery network (CDN) service. Our system, named MOSTO, provides performance levels comparable to that of a regular CDN, but does not require the deployment of a large distributed infrastructure. In the process of designing the system, we identify relevant functions that could be integrated in the future Internet infrastructure. Such functions greatly simplify the design and effectiveness of services, such as MOSTO. We demonstrate our system using a mixture of simulation, emulation, testbed experiments, and by realizing a proof-of-concept deployment in a planet-wide commercial cloud system.

Content delivery simulations supported by social network-awareness

In this study we conduct experiments on a modified content delivery simulation framework, as we aspire to compare miscellaneous policies for dynamic OSN-aware content delivery. The incorporation of an OSN-aware dynamic mechanism becomes indispensable for CDN services, since (i)significantly large proportion of Internet traffic results from -easily produced via online media services and transmitted over OSNs- bandwidth-intensive multimedia content and (ii)multimedia content providers, such as YouTube, often rely on ubiquitous Content Distribution Networks (CDNs) infrastructures. Our policies take patterns of user activity over OSNs and exploit geo-social properties of users participating in retransmissions of items over OSNs (social cascades), proceed to incorporate various caching schemes of the underlying infrastructure, different policies for the handling of OSN data and various approaches that take into account the efficient timing of prefetching. The simulation framework we introduce can serve as the basis of further parameterized content delivery experimentation that exploits information transmission over OSNs and decreases replication costs by selectively copying items to locations where items are likely to be consumed.

Content delivery simulations supported by social network-awareness

In this study we conduct experiments on a modified content delivery simulation framework, as we aspire to compare miscellaneous policies for dynamic OSN-aware content delivery. The incorporation of an OSN-aware dynamic mechanism becomes indispensable for CDN services, since (i)significantly large proportion of Internet traffic results from -easily produced via online media services and transmitted over OSNs- bandwidth-intensive multimedia content and (ii)multimedia content providers, such as YouTube, often rely on ubiquitous Content Distribution Networks (CDNs) infrastructures. Our policies take patterns of user activity over OSNs and exploit geo-social properties of users participating in retransmissions of items over OSNs (social cascades), proceed to incorporate various caching schemes of the underlying infrastructure, different policies for the handling of OSN data and various approaches that take into account the efficient timing of prefetching. The simulation framework we introduce can serve as the basis of further parameterized content delivery experimentation that exploits information transmission over OSNs and decreases replication costs by selectively copying items to locations where items are likely to be consumed.

Caffe Neve

The popularization of podcasting provides Internet users more opportunities to access interesting and entertaining multimedia content. The podcasting content hosting sites became the shared platforms for all Internet users to access third-party contributions. More and more Internet users are encouraged to become active content providers that share their resources and multimedia productions. Building a large scale multi-user 3D application can benefit from the same content distribution pattern as the development cost can be distributed if the application implementation is outsourced. The application is constructed by integrating 3D content from various third-party service providers. In addition, the implementation outsourcing can inspire contributors to provide creative application content. Unfortunately, sharing and distributing 3D resources are more challenging and the podcasting framework cannot resolve the problems effectively. We introduce a standardized framework that supports the seamless integration of distributed 3D resources as coarse-grained components of constructed Distributed Virtual Environments (DVEs). Component Application Framework For Extensible NEtworked Virtual Environments (Caffe Neve) uses service-oriented architecture (SOA) and incorporates streaming technology for dynamic content delivery. Using Caffe Neve, third-party developers can create distributed services to stream 3D content. The framework provides an application integrator that constructs a shared virtual environment and delivers the application content to the end users. In this paper we describe the framework details. The application integration infrastructure of the framework is designed based on a distributed Model-View-Controller model. The framework uses an ontology to support the semantic level content integration and service coordination. In addition, the framework incorporates streaming within the architecture for the real-time data delivery and improved performance. By deploying services within the framework, 3D resource owners can conveniently podcast or broadcast their 3D content to the end users. In the end, we demonstrate how to use the framework to construct 3D podcast and broadcast applications. Regardless of the type of 3D applications and delay tolerance, performance is important and has to be carefully studied. We evaluate the framework performance by examining the sample application and present the analysis results. We also present the experiment results on the simulated framework application in large scale by using simulation tools.

Scalable Web Content Attestation

The web is a primary means of information sharing for most organizations and people. Currently, a recipient of web content knows nothing about the environment in which that information was generated other than the specific server from whence it came (and even that information can be unreliable). In this paper, we develop and evaluate the Spork system that uses the Trusted Platform Module (TPM) to tie the web server integrity state to the web content delivered to browsers, thus allowing a client to verify that the origin of the content was functioning properly when the received content was generated and/or delivered. We discuss the design and implementation of the Spork service and its browser-side Firefox validation extension. In particular, we explore the challenges and solutions of scaling the delivery of mixed static and dynamic content to a large number of clients using exceptionally slow TPM hardware. We perform an in-depth empirical analysis of the Spork system within Apache web servers. This analysis shows Spork can deliver nearly 8,000 static or over 6,500 dynamic integrity-measured web objects per second. More broadly, we identify how TPM-based content web services can scale to large client loads with manageable overheads and deliver integrity-measured content with manageable overhead.

Low Power Reflective Display with Print-Like Color via Novel Electronic Inks

ABSTRACTReflective display technologies aim to enable the delivery of dynamic digital content to devices that have the look and feel of ink on paper. We are presenting herein a novel device architecture design and proprietary electrically addressable inks, which enable low power, disruptive, print-like full color reflective display that can exceed the chromaticity represented by the Specifications for Newsprint Advertising Production (SNAP) standard. We are approaching the challenge of generating bright high-quality reflective color images from the perspective of printing by stacking electro-optic layers of subtractive colorants to address every available color at every location. Using in-plane optical effects, our novel media technology provides fast switching between clear and color states. Thin, flexible electronic media based on this technology has been fabricated by imprinting three-dimensional micro-scale structures with a continuous roll-to-roll (R2R) manufacturing platform. HP’s combination of novel device architecture, proprietary inks, and R2R manufacturing platform enables the required attributes for electronic media such as flexibility, robustness, low power, transparency, print-quality color, and scalability at low cost. The structure property relationship of surfactants has been carried out; their impact on performance of display devices has been studied. These results have been applied to improve the performance of electronic inks. We have demonstrated 3-layer stacked segmented reflective display prototypes, as well as pixelated stacked color reflective display prototypes. The innovations described in this paper are applicable to electronic skins for customizable electronic surfaces and are currently being developed further for electronic paper and signage markets.

A survey on dynamic Web content generation and delivery techniques

While Web applications serve personal needs and business functions almost in every area, the responsiveness and performance of Web applications is the key factor to their success. With continuous innovation on Web technology, Web sites have evolved from document Web to application Web and further to service Web recently. During the evolution course, Web sites serving dynamic content started to grow exponentially to dominate the area. Dynamic pages require servers to generate the response content per-user request before delivering it back to the user, which introduces network traffic, server workload and results in extra latency. This drew tremendous efforts from both research and industry on how to accelerate the dynamic content generation and distribution in order to reduce the user perceived latency and improve the application performance, among which caching is a vital technology. This paper attempts to survey the innovative research and products recently published in this area and presents them in a road map style. It first examines the dynamic characteristics of Web applications and the inherent challenges for caching. Then the rest of this paper explores the varied acceleration solutions on content generation process and content delivery process, respectively, followed by the analysis of how different caching solutions fit Web applications of different characteristics. Finally it ends with the future trends on Web caching technique and a summary of the survey.

Selective Update Approach to Maintain Strong Web Consistency in Dynamic Content Delivery

Content delivery network improves end-user performance by replicating Web contents on a group of geographically distributed sites interconnected over the Internet. However, with the development whereby content distribution systems can manage dynamically changing files, an important issue to be resolved is consistency management, which means the cached replicas on different sites must be updated if the originals change. In this paper, based on the analytical formulation of object freshness, web access distribution and network topology, we derive a novel algorithm as follows: (I) For a given content which has been changed on its original server, only a limited number of its replicas instead of all replicas are updated. (2) After a replica has been selected for update, the latest version will be sent from an algorithm-decided site instead of from its original server. Simulation results verify that the proposed algorithm provides better consistency management than conventional methods with the reduced the old hit ratio and network traffic.

Scalable Delivery of Dynamic Content Using a Cooperative Edge Cache Grid

In recent years, edge computing has emerged as a popular mechanism to deliver dynamic Web content to clients. However, many existing edge cache networks have not been able to harness the full potential of edge computing technology. In this paper, we argue and experimentally demonstrate that cooperation among the individual edge caches coupled with scalable server-driven document consistency mechanisms can significantly enhance the capabilities and performance of edge cache networks in delivering fresh dynamic content. However, designing large-scale cooperative edge cache networks presents many research challenges. Toward addressing these challenges, this paper presents cooperative edge cache grid (cooperative EC grid, for short)?a large-scale cooperative edge cache network for efficiently delivering highly dynamic Web content with varying server update frequencies. The design of the cooperative EC grid focuses on the scalability and reliability of dynamic content delivery in addition to cache hit rates, and it incorporates several novel features. We introduce the concept of cache clouds as a generic framework of cooperation in large-scale edge cache networks. The architectural design of the cache clouds includes dynamic hashing-based document lookup and update protocols, which dynamically balance lookup and update loads among the caches in the cloud. We also present cooperative techniques for making the document lookup and update protocols resilient to the failures of individual caches. This paper reports a series of simulation-based experiments which show that the overheads of cooperation in the cooperative EC grid are very low, and our architecture and techniques enhance the performance of the cooperative edge networks.