Evolution of Search Engines: From Text-Based to Hybrid Models
The evolution of search engines from text-based to hybrid models has significantly transformed how information is retrieved. Initially, search engines relied on keyword matching for information retrieval. Over time, they integrated hybrid models incorporating semantic analysis and machine learning, enhancing accuracy and relevancy. These advancements enable understanding of user intent and contextual meaning, providing more personalized and precise results. This evolution reflects technological progress in handling vast and complex data sets.
