Controlling the information retrieved from a search engine involves using specific criteria to narrow and improve the output. For instance, a user looking for information on “electric cars” might refine their search by specifying criteria like “price range,” “manufacturer,” or “year of production” to obtain more relevant results.
The ability to specify selection criteria is essential for efficient information retrieval. Without such controls, users would be overwhelmed by vast amounts of often irrelevant data. This precision targeting, developed and improved over time alongside search engine technology, allows for more effective research, saving users significant time and effort while leading to more satisfying results. It underpins the utility of modern search engines across various domains, from e-commerce to academic research.
