[moralestapia]

>Even if you believe B, that’s still not reducing [...]

I agree.

>A does not require demonstrating doc-rank problems map to n-day problems

Of course you have to, that's pretty much the whole operation of reducing A to B. You may be doing it implicitly but you're doing it for sure.

>since reduction isn’t required to be symmetric

That's exactly my point. A <= B is not necessarily the same as B <= A, even though in some cases, at a first glance, it seems to be the case. Your choice of which one is A or B will change how you construct whatever proof you want to come up with.

I would choose to do "reduce rerank to n-day (and all others)", because it feels like it would be easier down the road, but also because one typically reduces the problem that one knows best (more general, known bounds solutions, etc...) into the one that you're studying. That's why I wrote "minor nitpick".

Think about the textbook example of 3-SAT and all other problems it reduces to: clique, vertex cover, independent set, ... one does not reduce these problems into 3-SAT, it's the other way around. That doesn't mean you couldn't, some of them may have an complete equivalences to 3-SAT, but it's just easier to work out everything if you go from 3-SAT to the rest. My argument is the same, rerank is the thing that you reduce to all others.

[riwsky]

> >A does not require demonstrating doc-rank problems map to n-day problems > Of course you have to, that's pretty much the whole operation of reducing A to B. You may be doing it implicitly but you're doing it for sure.

But the article isn’t mapping docrank to nday, nor is it claiming to reduce docrank to nday. Its choice of A and B is clear.

Nday didn’t have an understood solution to leverage like docrank did.

> one typically reduces the problem that one knows best (more general, known bounds solutions, etc...) into the one that you're studying

Wikipedia: “”” There are two main situations where we need to use reductions:

First, we find ourselves trying to solve a problem that is similar to a problem we've already solved. In these cases, often a quick way of solving the new problem is to transform each instance of the new problem into instances of the old problem, solve these using our existing solution, and then use these to obtain our final solution. This is perhaps the most obvious use of reductions. “””

This is what the article does, reducing the new nday problem into the known docrank one.

“”” Second: suppose we have a problem that we've proven is hard to solve, and we have a similar new problem. We might suspect that it is also hard to solve. We argue by contradiction: suppose the new problem is easy to solve. Then, if we can show that every instance of the old problem can be solved easily by transforming it into instances of the new problem and solving those, we have a contradiction. This establishes that the new problem is also hard. “””

This is your ‘transform A to B, this is called "reducing A to B", for some reason, and then you can say things like "B is at least as complex as A" and "I can solve some instances of B the way I solve the general case of A’. “Nday discovery is at least as complicated as document ranking” is obvious, though, which is why it’s not the subject of a blog post.

[moralestapia]

>Nday didn’t have an understood solution to leverage like docrank did.

Hence why you do docrank reduced to n-day. You typically map known into unknown. That's the point I'm trying to make.

I'm not saying the alternative is wrong, though, it's just not what one usually does.

(btw, even though this format makes everything look confrontative, I'm actually enjoying this thread a lot :D)

[riwsky]

"can map A to B, solve B, and use that to solve A" establishes the pre-order A ≤ B; you seem to pronounce "A ≤ B" as "B reduces to A", which indeed lines up with the wikipedia page for preorders in general—"when a≤b, one may say that b covers a or that a precedes b or that b reduces to a"—but compsci pronounces that the other way around, as per the Reduction (complexity) wiki page: "The existence of a reduction from A to B can be written in the shorthand notation A ≤m B, usually with a subscript on the ≤ to indicate the type of reduction being used (m : mapping reduction, p : polynomial reduction)". As inelegant as the discrepancy may be, the compsci conjugation is much more common than the category-theoretic one, and this is a programming forum. Just think of it like an irregular verb.