Wednesday, February 25, 2009

What's new...

In the last couple weeks quite few things have been happening on re-searchr, some of which made it to re-searchr's twitter account, some of which didn't, so I figured I'd sum up what has been going on here.

First off re-searchr got a little more social. Going off my theory that social search, and searching socially are different things,
I added some features for searching socially. Briefly, searching socially if a passive thing where your search results can be altered by algorithimic re-ranking based on your social network (and what they have said about various websites). For re-searchr, once you register and add in your social network credentials, re-searchr will use the number of comments and content of the comments from your network for a search result url in its re-ranking of your searches. The re-ranking occurs for searches at re-searchr as well as using the re-searchr toolbar to follow your searches on Google, Yahoo, MSN and Ask.

Secondly re-searchr got an addition to the rollover previews for search results. The Twitter and Friendfeed icons now have rollover states which show Twitter and Friendfeed comments that mention that particular search result url. If you are registered with re-searchr, and have left Twitter and Friendfeed credentials, then you will see comments from your network first at the top of the rollover window, the rest of Twitter will be available in date order below that. This information is useful in a couple of ways, first it gives you an idea of what other people think of the page in question, and second it allows you to connect with people who also have interests in the page, and most likely your seach query.

Third re-search got sentiment analysis. As you can see in the picture above each comment is labeled either with a smiley face (good sentiment), a blank face (no sentiment), or bad sentiment (frowny face). The sentiments are also rolled up and shown in the meta-data next to the search result urls. The sentiments are used to affect the ranking of the search result, in the same vein as above, sentiment data from your social networks has much more effect on rankings than random sentiment.

Finally re-search has started using GetSatisfaction to manage any problems, issues, or ideas that anyone has with the system. This service is much better than the old contact page/system, so I encourage everyone to leave feedback whenever something breaks, or with ideas on how to improve things on the site.

Re-searchr in the news

I am excited to say that a couple weeks ago, right after Minnedemo, I got contacted by Finance and Commerce about an article they were writing on leveraging social networks. I had great discussions with the author Arundhati Parmar, and the article is now hot off the presses (proverbially of course):

http://www.finance-commerce.com/article.cfm/2009/02/17/New-applications-leverage-the-popularity-of-social-networks

Saturday, February 7, 2009

Re-searchr at Minnedemo

Here is a video of me demoing re-searchr at Minnedemo, February 6th, 2009 in Minneapolis, Minnesota.

Wednesday, February 4, 2009

Welcome!

This is going to be the official re-searchr blog. For now lets just say that re-searchr is a social search tool that incorporates social data into a real-time, inline re-analysis of your search results. Re-searchr also facilitates asking your social networks for help on questions that are hard to answer.

Re-searchr is being demo'ed at minnedemo this Friday (February 6), please feel free to leave comments and suggestions about re-searchr in the comments, we really want the feedback!