[Search-l] Interesting Article
Gérard Dupont
ger.dupont at gmail.com
Tue Jul 29 15:06:54 UTC 2008
2008/7/29 Linas Vepstas <linasvepstas at gmail.com>
> 2008/7/29 Gérard Dupont <ger.dupont at gmail.com>:
> > I don't see the point "relevance ... based on the contents, not its
> > popularity"... That's what most of the system do.
>
> Its certainly not what page rank does. Page rank is a
> pure popularity contest. The success of Page rank
> depends on the hope that humands have previously
> identified the "good pages" and made them popular.
> This is also why page-rank can be fooled: use bots
> and bogus web sites to create artificial "popular" pages,
> and page-rank will rank them highly, even if the content sucks.
Actually the ranking model of google is much more deeper than page rank
which is only the visible part of the iceberg. For most search google
provide quite good results still subject to critics, but still better than
most engines. They not only use link to compute page rank but authority
sites are defined in a way that try to avoid the whole bots things. Still
subject to critics but not so bad.
> Finding some mechanism that outperforms pagerank
> is no mean feat.
>
> > and they always include a small picture. IMHO that's relevant but do
> anyone
> > know where are those pictures from (that not thumbnail of the result
> neither
> > a picture from the result...).
>
> I dunno. I ego-surfed for my own name, and found pictures
> of ugly people who I have never seen before. Yechh. How
> people I've never seen before are associated with projects
> I've worked on, I don't know.
Exactly what I found too but indeed I found that allow to quickly identify
non relevant pages and sometimes also the relevant ones. I really want to
know how they decide to present such image or not...
>
>
> --linas
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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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