I really enjoy reading Infosthetic - a blog about information visualization. When reading it, I often wonder - how does the author discover these interesting visualization stories and images? One way in which I find new and interesting data graphics is via image search. But am I using the best image search engine? I typed 'the best image search' in to Google and got this as the top result: Reviews of the Best Image Search Engines. Sounds like it is right on the money - until you realise that it was written on July 31st 2001. Things have changed a lot since then. Interestingly, that date of this article is not on the page itself, but on the page linking to it.
What is going on here is that some information online is dated. It is possible to approximate the date of a page via its ingest date (the date that the crawler discovered it), though this is pretty shaky at best. There may be information on the page that helps - though as we saw with the first example, that may be on another page on the site. In addition, older articles may well accumulate more inlinks, boosting their static ranking, thus compounding the problem.
I appreciate that I could use better terms. However, I'd certainly like the search engine to be sensitive to timely information, and to factor that in to its model of relevance.
See previous posts on search problems.