Multilingual personalized hashtag recommendation for low resource Indic languages using graph-based deep neural network
Users from different cultures and backgrounds often feel comfortable expressing their
thoughts on trending topics by generating content in their regional languages. Recently …
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 …
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 …
One of the most commonly used websites like Instagram, Facebook, or Twitter is the …
DemoHash: Hashtag recommendation based on user demographic information
Social network services have become widely used, and hashtags, which are implicitly
involved in delivering specific information, have shown to greatly improve user engagement …
involved in delivering specific information, have shown to greatly improve user engagement …
[HTML][HTML] Deep learning based hashtag recommendation system for multimedia data
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 …
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
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 …
indicators to manage content efficiently on social media platforms. However, finding these …
A hybrid deep neural network for multimodal personalized hashtag recommendation
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 …
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 …
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 …
avoid confusing users with a lot of information. Currently, they are basically traditional …
Deep Learning-Based Recommendation System: Systematic Review and Classification
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 …
customer satisfaction and generate revenue in various domains, such as e-commerce and …