UNDERSTANDING THE USER BEHAVIOR IN A DIGITAL LIBRARY USING AI DEEP LEARNING

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NDERSTANDING THE USER BEHAVIOR IN A DIGITAL LIBRARY USING AI DEEP LEARNING 

Deep learning, a subsection of artificial intelligence, is a method of machine learning that allows AI to develop skills and find solutions to complex problems way faster than humans can. Deep learning allows AI to be trained in predicting outcomes based on a given set of data.

An AI with access to a large amount of data and even larger amounts of computing power can be capable of predicting human behavior with great accuracy. Deep learning enables Library to get the most out of the consumer data they’ve gathered. Integrated into Information resources , deep learning opens a lot of opportunities for Libraries . The accurate prediction of purchasing behavior means Digital libraries are now able to know what their User want before they even know what they want themselves.

Without deep learning, AI can only help in analyzing Users Information ’ preferences based on what website and website they’ve reached or surf the net for. On the other hand, AI can take into consideration consumers’ intentions based on other data with deep learning. Through this, Digital library can plot personalized information strategies and target Users who are most likely to Prioritize their services.


AI helps Digital Library understand the needs and preferences of It Users.


Artificial intelligence is always collecting data generated by Users via their online activity. Information such as their needs, their information preferences, and their expectations are analyzed by AI to help LIbrary get a better understanding of what their User want. A good understanding of library Users’ wants allows The Digital LIbrary to accurately predict their Users’ purchasing behavior, which in turn, results in the creation of effective Information dissemination strategies.

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