How can NLP enhance the accuracy and efficiency of text-based recommendation systems?
Natural Language Processing (NLP) can significantly enhance the accuracy and efficiency of text-based recommendation systems by enabling machines to understand, interpret, and generate human language. Through NLP techniques such as sentiment analysis, entity recognition, and text summarization, recommendation systems can better analyze and categorize textual data, leading to more personalized and relevant recommendations for users.
January 30, 2024