Wednesday, October 29

Google tests "Wiki of Search"

SE land has coverage of Google testing more integration of user feedback into search results,
Google Rolling out "SearchWiki". Calling this a "Search Wiki" is exaggerating since users can't enter notes. It points to Google trying to leverage their large audience more effectively using explicit user feedback.

It's a step in in the direction Eric Schmidt outlined back in the 2006 analyst day presentation. From the notes on Slide 8:
  • Encourage our large user base to actively contribute metadata that leads to better search results
  • Wiki of search: empower users/experts to improve search results in their domains of expertise — create a million verticals
  • Effectively integrate user feedback (ratings, comments, tags) into search
It's exciting to see some innovation in this area. It's a logical next step for Google to collect explicit feedback from users on the quality of results. For example, not that I dislike my blog ranking highly, but a search for [Kleinberg memetracker] could be improved by moving memetracker.org higher.

In somewhat related news, Microsoft recently showed a research prototype U Rank, see their blog, that leverages your social network and let's you organize and edit search results and share them with others. This is closer to a "wiki of search", but in the limited context of a social network.

Sparse CIKM coverage

In case you missed it, Greg had some brief coverage of Rakesh Agrawal's keynote.

Bruce Croft from the CIIR here at UMass is giving the keynote today: Unsolved Problems in Search (and how we might approach them). I'm afraid I don't have any inside information on the content of his presentation.

I look forward to watching the videos on videolectures.net

Monday, October 27

CIKM 2008 this week

CIKM 2008 started yesterday with tutorials, unfortunately I'm not there this year.

I can't find much online for most of them. I agree with Daniel who says, Please Blog!. Live blogging anyone? Here's a little bit that I could find on one of the tutorials:

Large graph mining: patterns, tools and case studies
(See also the tutorial from WWW 2008 and ECML 2007 on VideoLectures).

Elif and Jangwon from our lab here UMass are attending, so hopefully I'll have their highlights when they return.

You can read Jangwon's paper on blog search Blog Site Search Using Resource Selection.

Napa is gorgeous. It also happens to have some of the best restaurants in the world. I would love any coverage of those too ;-).