On the current state of deep learning for news recommendation

Amir, Nabila; Jabeen, Fouzia; Ali, Zafar; Ullah, Irfan; Jan, Asim Ullah; Kefalas, Pavlos

doi:10.1007/s10462-022-10191-8

Cited by 21 publications

(6 citation statements)

References 92 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, the methodology examines the current status of deep learning research and, based on that assessment, offers some current research fields. Learning on a more in-depth level due to China's late entry into deep learning research, research on the underlying theory of deep learning [40].…”

Section: Related Workmentioning

confidence: 99%

Preschool Education Based on Computer Information Technology Literacy and Big Data

Luo

2022

Journal of Sensors

View full text Add to dashboard Cite

In this practical framework, the preschool teacher is reinforced to utilize a more significant teaching model, like forming real-time-based contextual issues, to help participants to identify a deep learning-based learning model. Numerous studies have been released as a result of the popularity of the use of CIT in preschool education as a research subject. Due to the fact that it broadens teaching resources, provides learning time flexibility, and strengthens teacher-student relationships, this teaching method has received a lot of attention in academia. Teaching strategies in preschool classrooms combine elements of both direct instruction and free play. Among these, CIT stands out as a powerful tool for boosting students’ motivation and engagement in the classroom. Integrate new technology and science into the classroom setting, as well as implement pedagogical changes that make use of IT. Preschool education informatization is now deploying new technology in a variety of preschools, yet there are still flaws. In this paper, a theoretical and problematic-based classifier model, a deep learning-based methodology that was reinforced by utilising a Python-based model to create the comprehensive among preschool students and high-phase semantic parameters, and to enhance computer-based teaching through estimation and text design that can detect high-frequency-based knowledge samples, are used. In this practical model, teachers are insisted to utilize significant frameworks like contextual issues to provide skills to students. The results show that this integrated CIT teaching method is suitable for students and able to raise their aptitude and enthusiasm for studying. By offering new theoretical and practical results about preschool education, the study helps to reform preschool education.

show abstract

Section: Related Workmentioning

confidence: 99%

Preschool Education Based on Computer Information Technology Literacy and Big Data

Luo

2022

Journal of Sensors

View full text Add to dashboard Cite

show abstract

“…However, an HAR system is only acceptable if it performs better in terms of the evaluation metrics. In this regard, some well-known and widely used evaluation metrics include accuracy, precision, recall, and f-score [128]. Accuracy (Equation 1) is the most common metric used to determine how well a model works by finding the correct number of predictions from the total predictions.…”

Section: ) Metrics For Performance Evaluationmentioning

confidence: 99%

Human Action Recognition Systems: A Review of the Trends and State-of-the-Art

Karim,

Khalid,

Aleryani

et al. 2024

IEEE Access

Self Cite

View full text Add to dashboard Cite

Human action recognition (HAR), deeply rooted in computer vision, video surveillance, automated observation, and human computer interaction (HCI), enables precise identification of human actions. Numerous research groups have dedicated their efforts to various applications and problem domains in HAR systems. They trained classification models using diverse datasets, enhanced hardware capabilities, and employed different metrics to assess performance. Although several surveys and review articles have been published periodically to highlight research advancements in HAR, there is currently no comprehensive and up-to-date study that encompasses architecture, application areas, techniques/algorithms, and evaluation methods as well as challenges and issues. To bridge this gap in the literature, this article presents a comprehensive analysis of the current state of HAR systems by thoroughly examining a meticulously chosen collection of 136 publications published within the past two decades. These findings have significant implications for researchers engaged in different aspects of HAR systems.

show abstract

“…Amir et al [13] investigated the strengths, weaknesses, and trends of news recommendation models using deep learning methods. Their study deals with the classification of deep learning-based news recommendation models and conducts a performance comparison of the models.…”

Section: News Recommendationmentioning

confidence: 99%

Recommending K-Wave Items Tailored for Small-Sized Exporters by Incorporating Dense and Sparse Vectors

Lee,

Na,

Han

et al. 2023

Sustainability

View full text Add to dashboard Cite

As K-wave has been strengthened via recent K-contents, K-wave items such as cosmetics and electronic devices have also gained attention globally. For small-sized export sellers who purchased the items and exported them to different countries, it is significant to discover which K-wave items are trending in specific countries. To do so, we proposed an ensemble recommender system by producing the dense vector, which is generated by a variant of Bidirectional Encoder Representations from Transformers (BERT), and balancing the vector with a sparse vector in order to ensure the efficient execution speed and recommendation accuracy. Based on the data we have collected specifically for potential K-items, our experiment showed that the proposed model outperforms the various baselines, which are used for content-based filtering.

show abstract

On the current state of deep learning for news recommendation

Cited by 21 publications

References 92 publications

Preschool Education Based on Computer Information Technology Literacy and Big Data

Preschool Education Based on Computer Information Technology Literacy and Big Data

Human Action Recognition Systems: A Review of the Trends and State-of-the-Art

Recommending K-Wave Items Tailored for Small-Sized Exporters by Incorporating Dense and Sparse Vectors

Contact Info

Product

Resources

About