Have people noticed this? It seems a lot faster too.
Improved Search Engine?
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YES. Yea, fodors!
Glad to see the improvement.
I agree with the improved speed.
Not every "black hole" is fixed yet... in particular the well-known "Basilicata" thread - - http://www.fodors.com/forums/threadselect.jsp?fid=2&tid=1300139 (perenially championed, and topped... by cmt) STILL can not be retrieved by searching "Basilicata".
Still, each "fix" deserves applause, even if incomplete.
Best wishes,
Rex
I'm not a computer scientist, but a search engine can't be expected to return everything, presumably?
I guess a later thread where cmt pasted the contents of the earlier thread does come up in the search.
<<...a search engine can't be expected to return everything, presumably?>>
It can, in a finite database such as this one. The "black hole" (my own terminology... obviously not "technical jargon") is a glitch of some sort; I don't know how much it has to do with something that Fodors can't find and fix... and how much they are not aware of it.
"It can, in a finite database such as this one."
As I said, I'm not a computer scientist, but that statement doesn't say much -- the Web itself is, after all, also finite.
Surely there must be a size limitation.
I obviously don't know anything about database infrastructure to know.
But I'll take your word that it's a glitch that affects that thread for some reason.
Given that Google can find said Basilicata thread in <1sec indicates that a good search engine can, in fact, find things.
on Google, just use the syntax "Basilicata site:fodors.com"
<<that statement doesn't say much -- the Web itself is, after all, also finite...>>
You're right. "finite" was a poor word choice. What I meant to say was closer to "defined" or "known", with regard to the size of the database, as opposed to more "open-ended", which is what Google has to deal with...
In any event, the Basilicata thread has (apparently) been part of an identifiable "cohort" of data elements here on Fodors for a long time that are "lost" to the indexing process.