> Correct. Google will give you better results with full-sentence-like input.
Please show how to use a full-sentence natural-language query to search for images of a shirt without stripes. Thanks.
Please show how to use a full-sentence natural-language query to search for images of a shirt without stripes. Thanks.
`shirt without stripes` definitely fails (and I see it is a natural-language meme because that's what is returned most prominently against that phrase. Hilarious.)
`shirt -stripes` as an image search is also not foolproof. It does a better job, but some leak through (I would assume for two reasons: if the text just doesn't mention it, the negative key filter has nothing to key on, and we have different words for "stripes" that Google doesn't consider synonyms. Is a plaid shirt striped? What about a checked shirt?).
But hilariously, all of the ad results are stripe-heavy. Looks like there's a bug: negative keywords in image search aren't passed as negative keywords to the ad engine, but instead as positive keywords. Wasted money for those advertisers; that's definitely not what the user wants.
For this sort of search, I'd actually use Shopping... Except that while there is a "Striped" category, I know of no way to do a negative category search on the Shopping UI, so I get the opposite of what I want. I can get all the striped shirts ever, but non-striped would be harder.
I suppose I should amend my previous comment to say "If you don't try natural language queries on the fringe of known unsolved problems, it works better than keywords." ;) And since Google is forever targeting the common use-case, perfect may be the enemy of good here for getting most people what they're looking for most of the time.