How do context-aware artificial intelligence algorithms used in fitness recommender systems? A literature review and research agenda

Venkatachalam, Parvathy; Ray, Sanjog

doi:10.1016/j.jjimei.2022.100139

Cited by 21 publications

(10 citation statements)

References 83 publications

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“…The principles of AI-powered personalization encompass continuous learning and adaptation. As users interact with the platform, the AI algorithms gather data, refine their understanding of individual preferences, and dynamically adjust recommendations (Venkatachalam and Ray, 2022). This iterative process ensures that personalization remains relevant over time, reflecting changes in user behavior and preferences.…”

Section: Ai-powered Personalization In E-commercementioning

confidence: 99%

E-commerce and consumer behavior: A review of AI-powered personalization and market trends

Mustafa Ayobami Raji,

Hameedat Bukola Olodo,

Timothy Tolulope Oke

et al. 2024

GSC Adv. Res. Rev.

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In the dynamic landscape of electronic commerce (e-commerce), understanding and adapting to evolving consumer behavior is critical for the sustained success of online businesses. This review delves into the intersection of e-commerce and consumer behavior, focusing on the transformative role of Artificial Intelligence (AI)-powered personalization and its impact on market trends. The advent of AI has revolutionized the way e-commerce platforms engage with and cater to individual consumer preferences. AI-powered personalization techniques leverage advanced algorithms to analyze vast datasets, enabling the delivery of highly tailored and relevant content, product recommendations, and user experiences. This review explores the intricate mechanisms of AI-driven personalization, examining how it enhances customer engagement, satisfaction, and loyalty. Furthermore, the study investigates the prominent market trends shaped by AI in e-commerce. From chatbots and virtual assistants facilitating seamless customer interactions to predictive analytics optimizing inventory management, AI is driving innovation across various facets of the online retail landscape. The analysis delves into the integration of machine learning algorithms in predicting consumer preferences, streamlining the purchasing process, and fostering a more personalized shopping journey. As e-commerce continues to evolve, the review also explores the challenges and ethical considerations associated with AI-powered personalization. Issues such as data privacy, algorithmic bias, and the delicate balance between customization and intrusiveness are examined to provide a comprehensive understanding of the broader implications of AI in shaping consumer behavior. Ultimately, this review offers valuable insights into the symbiotic relationship between e-commerce and consumer behavior, shedding light on the transformative power of AI-powered personalization and its influence on emerging market trends. As businesses navigate the digital landscape, understanding and harnessing the potential of AI-driven strategies become imperative for staying competitive and meeting the evolving expectations of tech-savvy consumers.

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Section: Ai-powered Personalization In E-commercementioning

confidence: 99%

E-commerce and consumer behavior: A review of AI-powered personalization and market trends

Mustafa Ayobami Raji,

Hameedat Bukola Olodo,

Timothy Tolulope Oke

et al. 2024

GSC Adv. Res. Rev.

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“…The integration of AI into VR experiences is poised to enhance personalization and interactivity. AI algorithms can analyze user behaviors, preferences, and interactions, tailoring VR content in real-time (Venkatachalam and Ray, 2022). Businesses leveraging AI-driven insights can deliver more relevant and engaging VR experiences.…”

Section: Future Trends and Considerationsmentioning

confidence: 99%

Business Strategies in Virtual Reality: A Review of Market Opportunities and Consumer Experience

Mustafa Ayobami Raji,

Hameedat Bukola Olodo,

Timothy Tolulope Oke

et al. 2024

Int. j. manag. entrep. res

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Virtual Reality (VR) has emerged as a transformative technology, revolutionizing the way businesses operate and interact with consumers. This abstract provides a comprehensive review of business strategies employed in the realm of Virtual Reality, focusing on market opportunities and consumer experiences. The study delves into the dynamic landscape of VR, exploring its applications across various industries and the strategic approaches adopted by businesses to capitalize on this burgeoning market. The first section of the review highlights the diverse market opportunities that VR presents. From gaming and entertainment to healthcare, education, and corporate training, businesses are increasingly leveraging VR to create immersive experiences and enhance operational efficiency. The analysis unveils key trends in VR adoption, shedding light on the sectors poised for substantial growth and the strategic considerations guiding market entry and expansion. The second segment explores the pivotal role of consumer experience in shaping the success of VR-based ventures. Businesses are recognizing the significance of delivering seamless and captivating VR experiences to gain a competitive edge. This section evaluates consumer expectations, challenges, and preferences in the VR landscape, emphasizing the need for innovative strategies to enhance user engagement and satisfaction. Moreover, the abstract addresses the evolving nature of business models in the VR ecosystem, including subscription-based services, content creation, and hardware development. It discusses the collaborative efforts between technology giants, startups, and content creators to create a robust VR ecosystem. This abstract offers valuable insights into the multifaceted world of business strategies in Virtual Reality, providing a roadmap for entrepreneurs, investors, and industry stakeholders seeking to navigate the complex terrain of VR market opportunities and deliver unparalleled consumer experiences. As VR continues to reshape industries, understanding and adapting to these strategies will be crucial for achieving sustainable success in this dynamic and rapidly evolving domain. Keywords: Business Strategy, virtual Reality, Consumer Experience, Market Opportunities, Review.

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“…By analyzing patient data, AI algorithms can identify patterns and trends that may indicate the risk of certain diseases or complications. This predictive capability enables healthcare professionals to intervene proactively, offering preventive measures and personalized interventions tailored to individual patient needs (Vallée, 2023). The era of one-size-fits-all medicine is giving way to personalized treatment plans powered by AI.…”

Section: Artificial Intelligence In Healthcarementioning

confidence: 99%

Artificial Intelligence in Healthcare: A Review of Ethical Dilemmas and Practical Applications

Evangel Chinyere Anyanwu,

Chiamaka Chinaemelum Okongwu,

Tolulope O Olorunsogo

et al. 2024

imsrj

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The fusion of Artificial Intelligence (AI) and healthcare heralds a new era of innovation and transformation, yet it is not without its ethical quandaries. This comprehensive review traverses the intricate landscape where AI meets healthcare, delving into the ethical dilemmas that arise alongside practical applications. The ethical considerations span a spectrum, encompassing issues of patient privacy, transparency, accountability, and the inadvertent perpetuation of biases within AI algorithms. Privacy concerns emerge as a central ethical dilemma as healthcare providers leverage AI to process vast amounts of patient data. Striking a delicate balance between harnessing the power of AI for diagnostic and predictive purposes and safeguarding sensitive medical information is a critical challenge. Moreover, the review scrutinizes the ethical implications of AI algorithms and their potential to perpetuate biases, inadvertently exacerbating health disparities. A nuanced examination of bias mitigation strategies becomes imperative to ensure that AI technologies contribute to equitable healthcare outcomes. In tandem with ethical considerations, the review illuminates the practical applications reshaping the healthcare landscape. AI-driven diagnostics, predictive modeling, and personalized treatment plans emerge as transformative tools, enhancing clinical decision-making and patient outcomes. The efficient allocation of resources, streamlined workflows, and the acceleration of drug discovery processes showcase the tangible benefits of AI integration. This review aspires to guide healthcare practitioners, policymakers, and technologists in navigating the ethical crossroads of AI in healthcare. By fostering an awareness of ethical pitfalls and emphasizing responsible AI development, stakeholders can collaboratively shape a future where AI augments healthcare delivery, upholds ethical standards, and ultimately improves the quality of patient care. Keywords: AI, Healthcare, Ethics, Review, AI Application.

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How do context-aware artificial intelligence algorithms used in fitness recommender systems? A literature review and research agenda

Cited by 21 publications

References 83 publications

E-commerce and consumer behavior: A review of AI-powered personalization and market trends

E-commerce and consumer behavior: A review of AI-powered personalization and market trends

Business Strategies in Virtual Reality: A Review of Market Opportunities and Consumer Experience

Artificial Intelligence in Healthcare: A Review of Ethical Dilemmas and Practical Applications

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