Multilingual personalized hashtag recommendation for low resource Indic languages using graph-based deep neural network

S Bansal, K Gowda, N Kumar - Expert Systems with Applications, 2024 - Elsevier
Users from different cultures and backgrounds often feel comfortable expressing their
thoughts on trending topics by generating content in their regional languages. Recently …

A two-stage embedding model for recommendation with multimodal auxiliary information

J Ni, Z Huang, Y Hu, C Lin - Information Sciences, 2022 - Elsevier
Recommender system has recently received a lot of attention in the information service
community. In many application scenarios, such as Internet of Things (IoTs) environments …

Hybrid image analysis model for hashtag recommendation through the use of deep learning methods

D Połap - Expert Systems with Applications, 2023 - Elsevier
Content tags of a given image are the basic mechanism used in social networking services.
One of the most commonly used websites like Instagram, Facebook, or Twitter is the …

DemoHash: Hashtag recommendation based on user demographic information

D Jeong, S Oh, E Park - Expert Systems with Applications, 2022 - Elsevier
Social network services have become widely used, and hashtags, which are implicitly
involved in delivering specific information, have shown to greatly improve user engagement …

[HTML][HTML] Deep learning based hashtag recommendation system for multimedia data

Y Djenouri, A Belhadi, G Srivastava, JCW Lin - Information Sciences, 2022 - Elsevier
This work aims to provide a novel hybrid architecture to suggest appropriate hashtags to a
collection of orpheline tweets. The methodology starts with defining the collection of batches …

A hybrid filtering for micro-video hashtag recommendation using graph-based deep neural network

S Bansal, K Gowda, MZU Rehman, CS Raghaw… - … Applications of Artificial …, 2024 - Elsevier
Due to the growing volume of user-generated content, hashtags are employed as topic
indicators to manage content efficiently on social media platforms. However, finding these …

A hybrid deep neural network for multimodal personalized hashtag recommendation

S Bansal, K Gowda, N Kumar - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Users share information on social media platforms by posting visual and textual contents.
Due to the massive influx of user-generated content, hashtags are extensively used to …

Deep multiview adaptive clustering with semantic invariance

J Gao, M Liu, P Li, J Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multiview clustering has attracted significant attention in various fields, due to the superiority
in mining patterns of multiview data. However, previous methods are still confronted with two …

Neural TV program recommendation with label and user dual attention

F Yin, S Li, M Ji, Y Wang - Applied Intelligence, 2022 - Springer
TV program recommendation is very important for users to find interesting TV programs and
avoid confusing users with a lot of information. Currently, they are basically traditional …

Deep Learning-Based Recommendation System: Systematic Review and Classification

C Li, I Ishak, H Ibrahim, M Zolkepli, F Sidi, C Li - IEEE Access, 2023 - ieeexplore.ieee.org
In recent years, recommendation systems have become essential for businesses to enhance
customer satisfaction and generate revenue in various domains, such as e-commerce and …