In these days, personalized news recommender systems (RSs) have become an important and promising research field in the internet. RSs provide fast access to real-time news items from millions ofsources around the world. A key challenge of news sources is to help humans get the
Emotions play a significant role in many human mental activities, including decision making, motivation, and cognition. Various intelligent and expert systems can be empowered with emotionally intelligent capabilities, especially systems that interact with humans and mimic human behavior. In this thesis we design and
With the increased use of computers, electronic devices and human interaction with computer in the broad spectrum of human life, the role of controlling emotions and increasing positive emotional states becomes more prominent. If a user’s negative emotions increase, his/her efficiency will decrease greatly as
Researchers believe that cognitive expert systems should be capable of reasoning similar to humans. Cognitive expert systems is the study of human brain behavior or information processing. So, Various models proposed for information processing. In this study, we use a model with three levels of
Nowadays considering improvements in technology makes users have access to news through the internet, hence, news websites have achieved more popularity. However, According to the amount of data that are created each day, users are facing a huge amount of information updating continuously. Also because
