One of the key advantages of using NLP for intelligent document retrieval and recommendation is its ability to process unstructured text data and extract meaning from it. This allows for more accurate and relevant search results compared to traditional keyword-based methods.
Additionally, NLP can improve the efficiency of document retrieval by automating the process of analyzing and categorizing large volumes of documents. This not only saves time but also ensures that users can quickly access the information they need.
Furthermore, NLP can enhance the user experience by providing personalized recommendations based on a user’s search history, preferences, and behavior. This results in a more tailored and relevant content discovery experience.