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May 09, 2007
People Search is Hot
Spock's CEO Jaideep Singh spoke at the SD Forum last night at Google's offices in a session on people search. Michael Arrington moderated the session that included Spock, ZoomInfo and Wink. It was certainly a timely discussion given yesterday's WSJ article by Kevin Delaney.
A few interesting search stats and discussion points:
* 30% of all searches on Google or Yahoo! are for specific people or people related.
* Marge Simpson "googled" herself for the first time on the latest episode of The Simpsons
* Is there room for a smart new company to take the place of a general search engine to provide better and more accurate results for people queries?
* What's more important… the head or the tail?
* What about disambiguation? How can that be achieved?
* How does the concept of identity management play in to all of this?
After the fact, some of the questions that were posted to the three vendors included:
1. Can you make money here? What's your click through per thousand?
2. Is the market big enough to have three major people search players in the market?
3. Will Google or Yahoo get into this space? What will it take for them to move there? Financially, other?
4. Lawsuits, lawsuits....at what point will we start to see lawsuits if a major VIP gets hammered with negative tags or inaccurate data about them on the web? Whose responsibility is it?
5. Who owns your record and your data?
6. Will you sell information on people's data?
7. What about advertising versus subscription models? (ZoomInfo targets the business market and has low and high-end monthly subscription rates for example)
Jaideep gives a demo as Mike Arrington looks on.
May 9, 2007 in On Search, On Technology, Social Media | Permalink
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Comments
The thing I do not like about the common search engines is, that they do not recognize documents with similar content. It happens often on the Web that a post or document is spread out over more then 50 websites. Now that is great for the author but not for the searcher because it blows up your search result unnecessarily. With InfoCodex this will not happen because the linguistical database recognizes similar documents and puts them into groups. This does not blow up your search result unnecessarily.
http://www.ywesee.com/pmwiki.php/Ywesee/InfoCodexProcedure
Three things a modern Search engine should do:
1. Automatically classify a document according to its content.
2. Automatically generate an abstract of a document.
3. Generate a Heat-Map of the Contents of a Search Result.
http://www.ywesee.com/uploads/Main/InfoCodex_22.2.2007.pdf
Posted by: Zeno Davatz | May 10, 2007 12:23:16 AM
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