RagingBlogs + MachineLearning Bears.
29 degrees here today (celsius duh) and already 23 - blustery and humid. (still better warm than cold) Been having some new meetings, part of which look at how we can verticalise this local and global rss blob of data we've built up. It's an interesting problem.
With millions of blog posts in the last day/week (even in a small index) how do you build a system which can syndicate the best and most recent vertical content for a designated website's audience. Whether it be finance, music, travel, employment - whatever your poison - it's kinda like a modern AAP/Reuters issue.
One of Brad Feld's TAR (trust, attention, relevance) investments in the space - Collective Intellect - is looking at this problem/opportunity in the finance area. (as are others like Monitor110) Wall Street aint a bad customer for vertically algorithmicised rss - and to me there are lots of next gen ragingbull.com/multex.com/thestreet opportunities.
It's an area I'm hearing more and more "machine learning" experts decide to quit their jobs and focus their brains on cracking these new web problems. The mixture of consumer/freemium vs a premium pay for Wall Street model - and the adoption within both these groups (or not) will be interesting to watch; Which will be largely driven by the signal to noise, and how quick, insightful and tradeful the information is.
Cnet : "The system examines about 150,000 new postings a day. Then it analyzes them for sentiment--is it causing a stock to go up or down?--and credibility. The company then sends out data feeds and e-mails on stock activity and interesting news to subscribers."
With millions of blog posts in the last day/week (even in a small index) how do you build a system which can syndicate the best and most recent vertical content for a designated website's audience. Whether it be finance, music, travel, employment - whatever your poison - it's kinda like a modern AAP/Reuters issue.
One of Brad Feld's TAR (trust, attention, relevance) investments in the space - Collective Intellect - is looking at this problem/opportunity in the finance area. (as are others like Monitor110) Wall Street aint a bad customer for vertically algorithmicised rss - and to me there are lots of next gen ragingbull.com/multex.com/thestreet opportunities.
It's an area I'm hearing more and more "machine learning" experts decide to quit their jobs and focus their brains on cracking these new web problems. The mixture of consumer/freemium vs a premium pay for Wall Street model - and the adoption within both these groups (or not) will be interesting to watch; Which will be largely driven by the signal to noise, and how quick, insightful and tradeful the information is.
Cnet : "The system examines about 150,000 new postings a day. Then it analyzes them for sentiment--is it causing a stock to go up or down?--and credibility. The company then sends out data feeds and e-mails on stock activity and interesting news to subscribers."
posted by redbarren at 9:46 AM
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