Does similarity here refer to similarity in strings or similar to items in
same category ?
If its similarity to strings then edit distance can be used here. But if its
the latter, then how will edit distance help ?
It would probably be only looking for items in the same category.

On Thu, Sep 2, 2010 at 7:10 AM, Gene <[email protected]> wrote:

> Even if you're only matching words, there are different kinds of
> similarity.  Check out the soundex algorithm, for example. Levenshtein
> distance.  The Hungarian algorithm.  What does "50% similarity" mean
> anyway?  I know of no accepted meaning.
>
> My point is that if you're in an interview situation and you ask
> intelligent questions about the question you're asked, you are more
> likely to get the job.  At least I would be more likely to give it to
> you.  I've been responsible for hiring quite a few people.
>
> On Sep 1, 11:52 am, Chakravarthi Muppalla <[email protected]> wrote:
> > @Gene, it isn't about related words, its abt matching words!
> >
> > On Wed, Sep 1, 2010 at 8:26 PM, saurabh singh <[email protected]
> >wrote:
> >
> > > I think DS will be somewhere between suffix and trie DS
> >
> > > On Wed, Sep 1, 2010 at 9:35 AM, jaladhi dave <[email protected]
> >wrote:
> >
> > >> trie
> >
> > >> On Wed, Sep 1, 2010 at 5:45 PM, Arun <[email protected]> wrote:
> >
> > >>> You are given the amazon.com database which consists of names of
> > >>> millions of products. When a user enters a search query for
> particular
> > >>> object with the keyword say "foo" , output all the products which
> have
> > >>> names having 50% or more similarity with the given keyword ie "foo"
> >
> > >>> Write the most efficient algorithm for the same.
> >
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