When you are writing a small-scale search system over a specialized corpus where the index fits in the memory of a single machine it is easy to imagine and realize nifty features.
When your search engine draws 100MW you have a completely different perspective.
Spam has become an issue again in my native language. For a couple of years Google did a great job at removing spam, but somehow in the past 2 years it has resurfaced.
In other words. The Google I see has gotten worse at product discovery, and finding relevant debug discussions.
The idea that Google intentionally trades away search quality to gain revenue is absurd and pretty much a loonie conspiracy theory.
I just looked at my Google search history and just judging from the last few searches it has been dead accurate. In particular, the result for "mass of a single nitrile glove" is amazing. The top result is an info box of glove mass by size. I don't even know how they do that. Compare the results of the same query on DDG. Those results are garbage.
That is, by the way, how Google defines "search quality". Thousands of paid analysts run searches on Google and Bing and rate the outcome.
I'm not arguing that Google is sacrificing quality for revenue. Though I'm sure Google has the run the numbers on such practices.
Instead, I'm arguing that Google search has lost some ability to differentiate between generic and specific. I'm thinking of any of countless cases where I give up on keyword bingo and make a phone call or post in a chat app to get the information I couldn't squeeze out of a Google search.
Google often chops and screws keywords that should not be.
Quoting does not yield expected results, even when I can ultimately find the exact quote on an eventually discovered result.
Fuzzy matches often pollute results for similar but distinct searches. Differentiation is not always easy or even possible.
Fuzzy matches regularly fuzz the wrong words for my searches.
Results often outdated by years or even over a decade.
Limiting by time often returns results outside the range. Mostly in the 'results' before the results.
I often find myself thinking some searches would be easier with a hand written regex.
"Grep the world" is a fine strategy for corpora up to a certain size, and I do wish there was a product that just stored everything I've ever seen and let me run expensive searches on that.
edit: this is surveillance capitalism at it's finest
Search quality and profit are not always correlated.
[citation needed]
The only company I've seen attempt anything like this is the (criminally under-recognized) carrotsearch.
Google exists to make money from 99.9% of users, the ones who don't read HN, so that's pretty normal if you don't find it accurate
For all the data Google has, and all the AI and technology, their search isn't very "smart" at allowing you to contextualize or filter the searches very well.
For example, a button to remove social, to offer meta-data (such as whether a question is answered/unanswered) or offer features that might help me find what I am looking for.
Google has a huge index, but naturally, there's going to be 'noise', and maybe I want to see what's on page 50, or want to try and 'filter' some of the more popular sites.
Their UI for enabling this is non-existent.
Another example: Google BigQuery has the entire Reddit archive, they could surface meta-data such as the number of comments or whether entire comment chains are deleted (although, doing that against Reddit's API at scale would be a very difficult challenge and perhaps not welcomed by reddit).
But to me, as a user of search, that might influence what content I end up viewing, because perhaps a thread with 0 comments isn't so useful to me, or a thread full of [deleted] comments is worthless and should be de-indexed (and deciding what is valuable is a very hard question to answer).