When a query is ambiguous, which approach is recommended for judging results?

• A. Look for context signals and prefer results that offer broad usefulness or indicate ambiguity.
• B. Always choose the most recent result regardless of content.
• C. Ignore context and rely on popularity.
• D. Only consider the first returned result.

Answer: (A)

When a query is ambiguous, the best approach is to look for context signals and prefer results that offer broad usefulness or indicate ambiguity. Context signals—such as the user’s location, prior searches, current task, or surrounding text—help you infer which interpretation is most likely. Results that are broadly useful can address multiple possible intents, giving the user options or a general overview that enables them to refine their meaning. If a result explicitly presents multiple interpretations or asks a clarifying question, that’s especially helpful because it guides the user toward specifying their intent rather than forcing a single, potentially incorrect, answer.

Relying on just the most recent result, popularity, or only the first result can mislead when a query is ambiguous, since those approaches may not reflect the true user need and can push toward a narrow or irrelevant outcome.