Recommendation system based on deep learning methods: a systematic review and new directions
A Da'u, N Salim - Artificial Intelligence Review, 2020 - Springer
These days, many recommender systems (RS) are utilized for solving information overload
problem in areas such as e-commerce, entertainment, and social media. Although classical …
problem in areas such as e-commerce, entertainment, and social media. Although classical …
A review on deep learning for recommender systems: challenges and remedies
Recommender systems are effective tools of information filtering that are prevalent due to
increasing access to the Internet, personalization trends, and changing habits of computer …
increasing access to the Internet, personalization trends, and changing habits of computer …
A survey of recommender systems based on deep learning
R Mu - Ieee Access, 2018 - ieeexplore.ieee.org
In recent years, deep learning's revolutionary advances in speech recognition, image
analysis, and natural language processing have gained significant attention. Deep learning …
analysis, and natural language processing have gained significant attention. Deep learning …
[PDF][PDF] Deep learning methods on recommender system: A survey of state-of-the-art
BT Betru, CA Onana, B Batchakui - International Journal of Computer …, 2017 - academia.edu
The advancement in technology accelerated and opened availability of various alternatives
to make a choice in every domain. In the era of big data it is a tedious and time consuming …
to make a choice in every domain. In the era of big data it is a tedious and time consuming …
An adaptive deep learning method for item recommendation system
For many years user textual reviews have been exploited to model user/item representations
for enhancing the performance of the Recommender System (RS). However, the traditional …
for enhancing the performance of the Recommender System (RS). However, the traditional …
Deep learning based recommender system: A survey and new perspectives
With the growing volume of online information, recommender systems have been an
effective strategy to overcome information overload. The utility of recommender systems …
effective strategy to overcome information overload. The utility of recommender systems …
Use of deep learning in modern recommendation system: A summary of recent works
A Singhal, P Sinha, R Pant - arXiv preprint arXiv:1712.07525, 2017 - arxiv.org
With the exponential increase in the amount of digital information over the internet, online
shops, online music, video and image libraries, search engines and recommendation …
shops, online music, video and image libraries, search engines and recommendation …
Deep rating and review neural network for item recommendation
To alleviate the sparsity issue, many recommender systems have been proposed to
consider the review text as the auxiliary information to improve the recommendation quality …
consider the review text as the auxiliary information to improve the recommendation quality …
Deep learning in news recommender systems: A comprehensive survey, challenges and future trends
Nowadays, people prefer to read news articles from online sources worldwide due to their
easiness and availability. For the last few years, online searching for required information or …
easiness and availability. For the last few years, online searching for required information or …
Issues and solutions in deep learning-enabled recommendation systems within the e-commerce field
RJK Almahmood, A Tekerek - Applied Sciences, 2022 - mdpi.com
In recent years, especially with the (COVID-19) pandemic, shopping has been a challenging
task. Increased online shopping has increased information available via the World Wide …
task. Increased online shopping has increased information available via the World Wide …