Video platforms have become indispensable components within a diverse range of
applications, serving various purposes in entertainment, e-learning, corporate training …

Metaheuristic optimization algorithms (MOAs) are gaining increasing interest because of
their exceptional effectiveness in addressing many optimization issues. Nevertheless, these …

In recent years, the Internet has had a main and important contribution to human life and the
amount of data on the World Wide Web such as books, movies, videos and, etc. increase …

Recommender systems are chiefly renowned for their applicability in e‐commerce sites and
social media. For system optimization, this work introduces a method of behaviour pattern …

In recent years, Question Answering Systems (QASs) have been known as one of the most
significant tools to access information. QASs are search engines that can return a short and …

A video recommendation framework for e-commerce clients is proposed using the
collaborative filtering (CF) process. One of the most important features of the CF algorithm is …

Advanced metaheuristic methods are considered as an important alternative plan for
resolving complicated issues that cannot be addressed with deterministic techniques. In …

A recommender system is a type of information filtering system that predicts and
recommends items or products to users based on their preferences and past behaviors. It is …

Aiming at the problem that the single model of the traditional recommendation system
cannot accurately capture user preferences, this paper proposes a hybrid movie …

Abstractive text summarization is the task of creating a summary from a document by
merging facts from different sources and make a short description of them. In this procedure …