Wikiwix search engine now has an image search function. http://www.wikiwix.com/?img=true&action=&lang=en
They wrote a bit about some special features it has on the VP http://commons.wikimedia.org/wiki/Commons:Village_pump#Wikiwix_for_Commons
Give it a try, report if you find anything very useful or very broken. (Best to report on the VP I think)
For my part, I find it much less useful than Mayflower because there's no metadata display, and also it seems to show lots of thumb results to images that don't actually exist.
cheers Brianna
The search is executed faster than Mayflower, but the images load a lot slower than they do on Mayflower. Aside from that the search algorithm doesn't seem to be that good either:
Wikiwix: 9 results for 'dog' Mayflower: 3,416 results for 'dog'
I get the same low results when searching for other common terms.
-- Hay / Husky
On Mon, Mar 10, 2008 at 3:36 PM, Brianna Laugher brianna.laugher@gmail.com wrote:
Wikiwix search engine now has an image search function. http://www.wikiwix.com/?img=true&action=&lang=en
They wrote a bit about some special features it has on the VP http://commons.wikimedia.org/wiki/Commons:Village_pump#Wikiwix_for_Commons
Give it a try, report if you find anything very useful or very broken. (Best to report on the VP I think)
For my part, I find it much less useful than Mayflower because there's no metadata display, and also it seems to show lots of thumb results to images that don't actually exist.
cheers Brianna
-- They've just been waiting in a mountain for the right moment: http://modernthings.org/
Commons-l mailing list Commons-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/commons-l
the search algorithm doesn't seem to be that good either:
Wikiwix: 9 results for 'dog' Mayflower: 3,416 results for 'dog'
I get the same low results when searching for other common terms.
That doesn't mean anything. Performance of retrieval algorithms is measured in precision/recall, and depends on the application. 9 results for dog is probably a low recall, but if the precision is good the algorithm could be useful. And if the 3,416 answers of Mayflower are all about something else than dogs, it's not useful.
To have a good evaluation of these algorithms, we should create an annotated sample of data, complete with queries and referential (list of correct answers). Preferably we would have several sets to perform machine learning (if needed) and evaluation, and we would use standard or common standards like TREC, as to inherit their tools. -- Rama