Leveraging Personalized AI Recommendations to Enhance User Experience in Streaming Services (OTT Platform) DOI
Dwijendra Nath Dwivedi, Ghanashyama Mahanty

Advances in media, entertainment and the arts (AMEA) book series, Год журнала: 2024, Номер unknown, С. 265 - 290

Опубликована: Дек. 13, 2024

Sophisticated recommendation systems are crucial in the dynamic digital content consumption environment to improve user engagement and discoverability. This work provides an in-depth analysis of different models such as User-based Collaborative Filtering, NMF-based Content a Hybrid Model. It uses detailed dataset interactions with streaming platform evaluate their performance.We utilized Filtering utilize similarities among users for recommendations, break down user-item interaction matrix reveal hidden features, Model that combines advantages both methods offer more tailored precise recommendations. The results demonstrate intricate strengths weaknesss each model, displaying favorable combination customisation accuracy. findings from this provide valuable contributions discussion on also have practical implications

Язык: Английский

AI-Powered Employee Experience DOI
Dwijendra Nath Dwivedi, Ghanashyama Mahanty

Advances in human resources management and organizational development book series, Год журнала: 2023, Номер unknown, С. 166 - 181

Опубликована: Дек. 29, 2023

AI has become an indispensable tool for businesses seeking to enhance the employee experience. Businesses that implement it can increase satisfaction, customer service, and decrease cost per served – ultimately adding significant business value. Artificial intelligence instruments improve experiences across several areas: recruitment, onboarding, training, performance management. Furthermore, this use case will profoundly impact overall.

Язык: Английский

Процитировано

15

Guardians of the Algorithm DOI
Dwijendra Nath Dwivedi, Ghanashyama Mahanty

Advances in computational intelligence and robotics book series, Год журнала: 2024, Номер unknown, С. 196 - 210

Опубликована: Март 4, 2024

The emergence of artificial intelligence (AI) and data enquiry priciples uncovered immese technological possibilities, but it has also presented a range ethical concerns that require careful supervision moderation to avoid unintended consequences. This chapter is thorough examination emphasizes the crucial importance human intervention in upholding integrity AI systems data-driven processes. It not only as regulatory structure, an essential element development execution systems. study examines many approaches oversight, including both direct advanced monitoring techniques, can be incorporated at every stage lifecycle, from original creation post-deployment. showcases case studies real-world situations illustrate instances when lack resulted violations, conversely, where its presence effectively reduced dangers.

Язык: Английский

Процитировано

6

Mental Health in Messages DOI
Dwijendra Nath Dwivedi, Ghanashyama Mahanty

Advances in psychology, mental health, and behavioral studies (APMHBS) book series, Год журнала: 2024, Номер unknown, С. 187 - 208

Опубликована: Фев. 26, 2024

In an era dominated by digital communication, textual data offers a treasure of insights into human behaviour and emotions. today's digitally-driven world, the vast expanse generated from online interactions serves as profound indicator emotions behavioural nuances. This research delves deep realm sentiment analysis to uncover patterns indicative mental health states. Through robust examination synthetic datasets, study employs advanced techniques achieve same. These methods include analysis, topic modelling, pattern recognition, emotion detection. By interpreting these footprints, this underscores potential tool not just for understanding, but also predicting addressing challenges in communication mediums. The findings reveal that signs can be effective indicators conditions.

Язык: Английский

Процитировано

4

Unmasking the Shadows DOI
Dwijendra Nath Dwivedi, Ghanashyama Mahanty

Advances in human resources management and organizational development book series, Год журнала: 2024, Номер unknown, С. 185 - 200

Опубликована: Янв. 26, 2024

In the rapidly evolving landscape of artificial intelligence (AI), ethical ramifications its implementation have become a pressing concern. This chapter delves into darker facets AI deployment, examining cases where technology has been used in ways that defy established norms. It identifies common patterns and motivations behind unethical applications through comprehensive review real-world instances. Additionally, research underscores potential societal consequences these actions, emphasizing importance transparency, accountability, frameworks development deployment. serves as clarion call for community to prioritize ethics every application phase, ensuring is harnessed greater good rather than misused shadows.

Язык: Английский

Процитировано

4

Intelligent Conservation DOI
Dwijendra Nath Dwivedi, Ghanashyama Mahanty,

Varunendra nath Dwivedi

и другие.

Advances in systems analysis, software engineering, and high performance computing book series, Год журнала: 2024, Номер unknown, С. 215 - 226

Опубликована: Март 29, 2024

Artificial Intelligence (AI) emerges as a potent ally in augmenting environmental monitoring and fortifying conservation efforts. Now we have seen escalating challenges the need for sustainable practices. This paper outlines innovative applications transformative potential of AI managing complexities ecological preservation monitoring. facilitates real-time processing interpretation voluminous data. It helps informed decision-making strategic planning initiatives. The employment AI-driven models technologies such machine learning algorithms, computer vision sensor networks has proven instrumental biodiversity. plays pivotal role enabling precision by facilitating identification prioritization critical areas requiring immediate intervention. contributes to development smart adaptive systems capable autonomously tracking analysing disturbances human encroachments.

Язык: Английский

Процитировано

4

AI in Building Systems for Perpetual Monitoring and Control of ESG Practices DOI

Amit Aylani,

Madhuri Rao,

G. T. Thampi

и другие.

Communications in computer and information science, Год журнала: 2025, Номер unknown, С. 104 - 114

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Sustainability in the Digital Age DOI
Siva Raja Sindiramutty, N. Z. Jhanjhi, Chong Eng Tan

и другие.

Advances in logistics, operations, and management science book series, Год журнала: 2024, Номер unknown, С. 89 - 132

Опубликована: Янв. 19, 2024

This chapter explores the convergence of Industry 4.0 technologies and sustainable supply chain practices, presenting a comprehensive overview these digital advancements' transformative potential. The begins by defining intersection between sustainability 4.0, emphasizing pivotal role in fostering environmentally socially responsible chains. With clear objectives mind, exploration delves into impact key on practices. discussion spans utilization internet things (IoT) for real-time monitoring, big data analytics informed decision-making, integration robotics to enhance ethical manufacturing.

Язык: Английский

Процитировано

2

Personalization of Travel Experiences Through Data Analytics DOI
Dwijendra Nath Dwivedi, Ghanashyama Mahanty,

Shafik Khashouf

и другие.

Advances in marketing, customer relationship management, and e-services book series, Год журнала: 2024, Номер unknown, С. 127 - 144

Опубликована: Май 3, 2024

Travel and tourism represent a multifaceted sector, with the customer's journey from departure to return encompassing myriad interactions. A deeper comprehension of these interactions allows for enhanced planning aimed at enriching experience. The integration advanced data analytics has significantly focus on customer needs within travel industry. In this specific study, is applied tailor experiences visitors an amusement park, using comprehensive dataset fictional park explore how variables such as age, group makeup, admission time, ride preferences, eating habits can enhance visitor findings offer valuable insights into behaviors, facilitating customization services. For instance, age-related informs imposition restrictions, while arrival times aid in refining operations managing crowds more effectively.

Язык: Английский

Процитировано

2

Advancing Cybersecurity DOI
Dwijendra Nath Dwivedi, Ghanashyama Mahanty,

Shafik Khashouf

и другие.

Advances in information security, privacy, and ethics book series, Год журнала: 2024, Номер unknown, С. 12 - 25

Опубликована: Май 16, 2024

This chapter presents an innovative approach to cybersecurity by applying anomaly detection techniques network and system data. The study uses a comprehensive dataset from simulated environments analyze various attack scenarios evaluate classification algorithms. ensemble model achieve superior accuracy integrates feature importance analysis. findings show that the proposed framework not only identifies known types but also detects novel threats, underscoring its potential as pivotal tool in cybersecurity. research paves way for new era These reveal achieves high identifying exhibits robustness detecting thereby arsenal. advocates paradigm shift towards proactive threat identification, emphasizing critical role of fortifying defenses against ever-increasing sophistication cyber-attacks.

Язык: Английский

Процитировано

1

Predictive Analytics for Reducing University Dropout Rates DOI
Dwijendra Nath Dwivedi, Ghanashyama Mahanty,

Shafik Khashouf

и другие.

Advances in human and social aspects of technology book series, Год журнала: 2024, Номер unknown, С. 186 - 202

Опубликована: Июнь 14, 2024

Higher education institutions face a problem with student turnover that has many aspects and affects both students universities in different ways. Using predictive analytics machine learning, this study shows new way to deal problem. The main goal is create predicting algorithms can predict which are most likely drop out, so colleges get involved their lives timely effective way. As part of method, the authors collect preprocess large dataset from university records. This includes information about academic success, socioeconomic background, participation campus activities, psychological health. uses advanced learning methods look at all these data points. It focuses on feature selection engineering find important factors dropout. Rigid validation used test how well model works, making sure it accurately reliably future.

Язык: Английский

Процитировано

1