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A long short-term memory deep learning framework for explainable recommendation
H Zarzour, Y Jararweh, MM Hammad… - … on Information and …, 2020 - ieeexplore.ieee.org
Due to the growing quantity of information available on the Web, recommender systems
have become crucial component for the success of online shop** stores. However, most …
have become crucial component for the success of online shop** stores. However, most …
RecDNNing: a recommender system using deep neural network with user and item embeddings
H Zarzour, ZA Al-Sharif… - 2019 10th International …, 2019 - ieeexplore.ieee.org
The success of applying deep learning to many domains has gained strong interest in
develo** new revolutionary recommender systems. However, there are little works …
develo** new revolutionary recommender systems. However, there are little works …
A personalized reinforcement learning recommendation algorithm using bi-clustering techniques
Recommender systems have become a core component of various online platforms, hel**
users get relevant information from the abundant digital data. Traditional RSs often generate …
users get relevant information from the abundant digital data. Traditional RSs often generate …
A learning automata-based approach to improve the scalability of clustering-based recommender systems
S Taghipour, J Akbari Torkestani… - Cybernetics and …, 2024 - Taylor & Francis
One of the common techniques to reduce the scalability problem in collaborative filtering
(CF)-based recommender systems is the clustering technique, which accelerates finding the …
(CF)-based recommender systems is the clustering technique, which accelerates finding the …
An effective model-based trust collaborative filtering for explainable recommendations
H Zarzour, Y Jararweh… - 2020 11th International …, 2020 - ieeexplore.ieee.org
Nowadays, many companies through the world wide web like YouTube, Netflix, Aliexpress
and Amazon, provide personalized services as recommendations. Recommender systems …
and Amazon, provide personalized services as recommendations. Recommender systems …
Mining popular topics from the media
KR Boch, FC Kristjanson, CK Leung… - 2022 IEEE 46th …, 2022 - ieeexplore.ieee.org
As we are living in an uncertain world, the uncertainty may have significant and/or direct
implications on various aspects of the computer industry. Hence., innovations of computers …
implications on various aspects of the computer industry. Hence., innovations of computers …
Using k-means clustering ensemble to improve the performance in recommender systems
H Zarzour, F Maazouzi, M Al-Zinati… - … on Intelligent Data …, 2022 - ieeexplore.ieee.org
Collaborative filtering methods are often utilized in the industry of recommender systems.
They work by identifying users with similar tastes and recommending items for each active …
They work by identifying users with similar tastes and recommending items for each active …
Current trends in english public speech translation (based on TED talks platform)
Y Boyko, Y Kupchyshyna, O Tarasova… - Amazonia …, 2023 - mail.amazoniainvestiga.info
Nowadays, the media is rapidly develo**, and messaging processes are inexhaustible
thanks to the Internet. Audiovisual content has become a separate form of communication …
thanks to the Internet. Audiovisual content has become a separate form of communication …
Resource optimisation in cloud computing: comparative study of algorithms applied to recommendations in a big data analysis architecture
A Ndayikengurukiye, A Ez-Zahout… - Journal of Automation …, 2021 - yadda.icm.edu.pl
Recommender systems (RS) have emerged as a means of providing relevant content to
users, whether in social networking, health, education, or elections. Furthermore, with the …
users, whether in social networking, health, education, or elections. Furthermore, with the …
Recnn: A deep neural network based recommendation system
S Singh, M Lohakare, K Sayar… - … Conference on Artificial …, 2021 - ieeexplore.ieee.org
Deep learning's breakthrough in speech recognition, image analysis and natural language
processing has helped it gain a considerable amount of recognition in today's highly …
processing has helped it gain a considerable amount of recognition in today's highly …