An overview of video recommender systems: state-of-the-art and research issues

S Lubos, A Felfernig, M Tautschnig - Frontiers in big Data, 2023 - frontiersin.org
Video platforms have become indispensable components within a diverse range of
applications, serving various purposes in entertainment, e-learning, corporate training …

Transformative Movie Discovery: Large Language Models for Recommendation and Genre Prediction

S Raj, A Sharma, S Saha, B Singh, N Pedanekar - IEEE Access, 2024 - ieeexplore.ieee.org
In the era of digital streaming platforms, personalized movie recommendations, and genre
prediction have become pivotal for enhancing user engagement and satisfaction. With the …

Graph convolutional neural network for multimodal movie recommendation

P Mondal, D Chakder, S Raj, S Saha… - Proceedings of the 38th …, 2023 - dl.acm.org
The Recommendation System (RS) development and recommending customers' preferred
products to the customer are highly desirable motives in today's digital market. Most of the …

Task-specific and graph convolutional network based multi-modal movie recommendation system in Indian setting

P Mondal, P Kapoor, S Singh, S Saha, JP Singh… - Procedia Computer …, 2023 - Elsevier
Abstract Nowadays the Recommendation System, a subclass of information filtering system
does not require any introduction, and the movie recommendation system plays a vital role …

Genre Effect Towards Developing a Multi-Modal Movie Recommendation System in Indian Setting

P Mondal, P Kapoor, S Singh, S Saha… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The Recommendation System (RS) plays a crucial role in various platforms as an
information filtering agent however, our literature survey found that there is an unexplored …

A multi-modal multi-task based approach for movie recommendation

S Raj, P Mondal, D Chakder, S Saha… - 2023 International Joint …, 2023 - ieeexplore.ieee.org
An online recommendation system is one of the desires of digital e-commerce sectors and
the OTT platforms like Amazon Prime, Netflix, SonyLiv, etc. In recent times, with an increase …

Impulsion of Movie's Content-Based Factors in Multi-modal Movie Recommendation System

P Mondal, P Kapoor, S Singh, S Saha, N Onoe… - … Conference on Neural …, 2023 - Springer
Abstract Nowadays the Recommendation System, a subclass of information filtering system
does not require any introduction, and the movie recommendation system plays an …

Optimizing Movie Selections: A Multi-Task, Multi-Modal Framework with Strategies for Missing Modality Challenges

S Raj, P Agrawal, S Saha, B Singh… - Proceedings of the 39th …, 2024 - dl.acm.org
Online recommendation systems have become a crucial feature of Over-the-Top (OTT)
platforms, which provide streaming media content over the internet. OTT platforms, such as …

Dual-branch Complementary Multimodal Interaction Mechanism for Joint Video Moment Retrieval and Highlight Detection

X Liang, R Wang, G Lin, J Feng… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Joint video moment retrieval and highlight detection is a video understanding task that
requires the model to construct multimodal interaction between heterogeneous features …

아이템지식정보를이용한임베딩학습및추천연구

이재홍 - 2023 - s-space.snu.ac.kr
사용자가 물건을 구매하거나 클릭하는 등의 행동을 통해, 축적되는 로그 데이터를 바탕으로
사용자와 아이템 간 상호 관계에 대해 파악하고, 협업 필터링이나 콘텐츠 기반 필터링 등의 …