Artificial intelligence in recommender systems

Artificial Intelligence (AI) is a modern engineering method to make machines think or use their intelligence like humans by mimicking traits and by learning to take appropriate decisions and to perform assigned tasks properly. Some of the companies which have done remarkable work in the field of Artificial Intelligence (AI) are Facebook, Google, Microsoft, IBM, etc. which are investing millions and billions in this very field of AI development and research. Currently there is a huge market and need for building Intelligent Systems for Recommendation. To counter this, one of the easiest and most preferable System is Recommendation System (RS). Recommendation Systems had proved to play an important role in the field of E-Commerce websites, Online Shopping, Dating Apps, Social-Networking, Digital Marketing, Online Advertisements, etc. by providing personalized recommends and feedback to users according to their preferences and choices. Artificial intelligence plays a key role in recommender systems by enabling the algorithms to learn from user interactions and adapt to changing preferences over time. Machine learning techniques such as deep learning and natural language processing are often used to improve the accuracy and effectiveness of recommender systems. Overall, artificial intelligence in recommender systems helps businesses increase customer engagement, drive sales, and enhance user experience by providing personalized recommendations that are tailored to each individual user's preferences and interests.

کلیدواژه ها:

Artificial Intelligence ، recommender systems ، E-Commerce ، user experience ، accuracy and effectiveness.