From Under the Radar: Session 1 (Search 2.0)

Kaboodle

Shopping on the web is difficult. Very fragmented. Kaboodle makes it very easy to collect information from across the web on a single page and share it with people you know (maybe the potential purchasers?)....and leave it behind for others to benefit from your research. Ostensibly, you get to benefit from other's research as well.

Search the web. Find interesting items. Click on Kaboodle extension to add it to your Kaboodle. Summarize the information. Do a simple comparison. Others can also comment and annotate: "I bought this...and I have these issues" etc. Sharing discovery. Research. Create gift lists.

David Tennenhouse (A9) is concerned about spam, but would have liked to use Kaboodle to buy a recent cell phone.

Stowe Boyd has a concern with scalability. How are you sorting entries? By reputation?

Kevin Efrusy (Accel Partners) finds the user experience elegant. [site]

Loomia

"Pervasive Discovery"

Origin story: The Day Keywords Failed Me... "The Long Tail (of Crap?)" - ouch - millions of pages and files and products out there that aren't what you are looking for, that you have to wade through in order to get to what you need.

Search vs. Discovery - but that isn't enough. Pervasive Discovery - bringing the results to your own website.

The need for discovery is bigger than ever. Loomia is a personal recommendation system for music...but also is being used as a recommendation system for SF restaurants. Partnering with Video on Demand companies.

David Tennenhouse - look at the code in the open search. Stick with standards that are already out there.

When the porn rises to the top of the general site: Q. Well, since results rise up as people click and recommend, maybe that's what people really want...LOL [site]

Riya

Okay...we kick ass. Sorry...I know I'm biased. But Munjal's demo rocked. I hadn't even seen this version. OMG. I'd join.

Sphere

Searching for relevant blogs. Algorithm looks at link structures. Measures authority on topics, rather than just blog authority. Look at links, depth of post, chronology, frequency of posting on specific topics, and content semantic analysis tools (spam identification - pushes these results to the very bottom).

Gives snippets of the blogger profile: average number of words per post, average posts per week, last 3 posts, etc.

Ooooooo....histogram....nice. Just like Measuremap and Flickr. (note to self: add something like this to calendar page for date ranges).

Nice...bookmarklet to track who is talking about a specific new piece, post or site. [site]

technorati tags: utr, undertheradar, web2.0, reporting, sessions