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 …

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 …

The growth of data in recent years has motivated the emergence of deep learning in many
Computer Sciences related fields including Recommender System (RS). Deep learning has …

Due to the great success, deep learning gains much attentions in the research field of
recommendation. In this paper, we review the deep learning based recommendation …

In recent years, deep learning's revolutionary advances in speech recognition, image
analysis, and natural language processing have gained significant attention. Deep learning …

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 …

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 …

Deep neural system has been succeeded in solving recent complex problems in AI, image
processing, and natural language processing. In recommendation system innovation, deep …

While the recent emergence of a large number of online course resources has made life
more convenient for many people, it has also caused information overload. According to a …

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 …