[Search-l] Widgets

[Gérard Dupont]

Depending of the level of complexity you want in the suggestion is could be
very simple to quite hard.

You could simply use dictionnaries.

Better is to use semantic sources to find close terms in the semantic space
(quite harder I think)

I think that what Yahoo do is a global relevance feedback, ie proposing
terms and queries that close to the one you proposed and already proposed by
others users (collaborative relevance feedback or so).

You could also make relevance feedback on the user level matching its
interests regarding past queries/click (if you store such data).



2008/7/21 Jimmy Wales <jwales at wikia.com>:

> Linas Vepstas wrote:
> > 2008/7/18 Mark (Markie) <newsmarkie at googlemail.com>:
> >
> >> interested me is the widgets ideas.  IMO these are really key things
> that,
> >
> > Maybe this has been talked to death already, but I started using
> > yahoo search recently, and I really like the keyword-refinement
> > widget they have -- e.g. if you search for perl, it offers up a bunch
> > of perl topics to pick from.  I'm guessing that picking from this
> > list improves both accuracy and speed.
>
> Can you send us some links to sample searches to look at this?
>
> How hard would it be to replicate this functionality in free software?
>
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-- 
Gérard Dupont
Information Processing Competence Center (IPCC) - EADS DS
http://weblab-project.org

Perception & Machine Learning team - LITIS Laboratory
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