Which search approach lets users enter their own search terms, increasing recall but decreasing precision?

Which search approach lets users enter their own search terms, increasing recall but decreasing precision?

• A. Cyberbullying
• B. Copyright
• C. Concept Mapping
• D. Natural Language

Answer: (D)

Natural language search lets you express your information need in your own words, using everyday language rather than fixed keywords. This flexible approach captures variations, synonyms, and intent, so it can find more relevant documents that a strict keyword search might miss, which increases recall. But because the query is interpreted more broadly, you end up pulling in more results that aren’t exactly on target, so precision drops. For example, asking about the "effects of caffeine on sleep in adults" can yield pages that discuss related topics or use different phrasing, boosting how many relevant items you see but also bringing in unrelated ones. The other options aren’t about searching with natural, user-supplied terms; they refer to topics or techniques unrelated to the act of formulating a query, so they don’t describe this search approach.

Natural language search lets you express your information need in your own words, using everyday language rather than fixed keywords. This flexible approach captures variations, synonyms, and intent, so it can find more relevant documents that a strict keyword search might miss, which increases recall. But because the query is interpreted more broadly, you end up pulling in more results that aren’t exactly on target, so precision drops. For example, asking about the "effects of caffeine on sleep in adults" can yield pages that discuss related topics or use different phrasing, boosting how many relevant items you see but also bringing in unrelated ones. The other options aren’t about searching with natural, user-supplied terms; they refer to topics or techniques unrelated to the act of formulating a query, so they don’t describe this search approach.