Searchers are constantly challenging search engines with the Turing test, expecting humanlike answers to their sometimes ill-formed questions. Most search engines do well for short keyword queries (like "mars exploration"), but they tend to fail for natural language with syntactic structure (like "space missions before apollo"). Careful search interface design may provide parts of the solution. Query Suggestions help users formulate longer, well-phrased questions, providing optimal answers at the cost of less variety. Best Bets help search engines provide good answers when organic search results fail. Will these two techniques together give humanlike intelligence to the search machine?
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