Hindi podcast genre prediction using support vector classifier

Review Education, Scientific Disciplines

Learning Through Listening: A Scoping Review of Podcast Use in Medical Education

Jessica M. Kelly et al.

Summary: This study examined the current research on podcast use in medical education, focusing on descriptive attributes and educational outcomes. The findings showed an increasing use of podcasts in medical education, with podcasts being a valuable resource for resident education and incorporated into formal curricula. Learners found podcasts to be portable, efficient, and a combination of education and entertainment. There was evidence of improved documentation skills in medical students and self-reported practice change in residents and practicing physicians after listening to podcasts. However, further research is needed to explore the optimal structure of podcasts for learning, higher-level outcomes, and the implementation of podcasts into formal curricula.

ACADEMIC MEDICINE (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Genre based hybrid filtering for movie recommendation engine

Arighna Roy et al.

Summary: With the rapid increase in internet users, daily web searches have also increased. Recommendation engines utilize large amounts of data to find patterns in user behavior, with movie recommendations being one of the most common applications. Collaborative filtering remains the predominant technique, known for its simplicity and flexibility, but it faces challenges such as the "Cold-Start" problem.

JOURNAL OF INTELLIGENT INFORMATION SYSTEMS (2021)

添加到收藏夹

Article Computer Science, Information Systems

ASTS: attention based spatio-temporal sequential framework for movie trailer genre classification

Yitong Yu et al.

Summary: In this paper, we propose a novel and effective Attention based Spatio-temporal Sequential Framework (ASTS) for movie trailer genre classification, which includes spatio-temporal descriptive module and attention-based sequential module. Experimental results show that our proposed framework outperforms existing methods.

MULTIMEDIA TOOLS AND APPLICATIONS (2021)

添加到收藏夹

Proceedings Paper Computer Science, Theory & Methods