Filed under: Search | Tags: Deep Peep, Deep Web, Google, Prof. Juliana Freire
Prof. Juliana Freire at the University of Utah is working on an ambitious project called DeepPeep (www.deeppeep.org) that eventually aims to crawl and index every database on the public Web. Extracting the contents of so many far-flung data sets requires a sophisticated kind of computational guessing game.
“The naïve way would be to query all the words in the dictionary,” Ms. Freire said. Instead, DeepPeep starts by posing a small number of sample queries, “so we can then use that to build up our understanding of the databases and choose which words to search.”
Based on that analysis, the program then fires off automated search terms in an effort to dislodge as much data as possible. Ms. Freire claims that her approach retrieves better than 90 percent of the content stored in any given database. Ms. Freire’s work has recently attracted overtures from one of the major search engine companies.
As the major search engines start to experiment with incorporating Deep Web content into their search results, they must figure out how to present different kinds of data without overcomplicating their pages. This poses a particular quandary for Google, which has long resisted the temptation to make significant changes to its tried-and-true search results format.
Filed under: Behavioural Targeting | Tags: Bluekai, Marketing as a Service
I came across this company today. They essentially provide you with Marketing as a Service.
Much like with commercials on television, online consumers like you are familiar with receiving messages from marketers in exchange for free or subsidised content across the Internet. While BlueKai has not come up with a solution to eliminate advertising altogether, they’ve created an anonymous registry of online preferences that helps you manage and control what marketers know about you.
In return, you, the consumer, are rewarded with the 3C’s: control, charity, and content.
Control—With the BlueKai registry, you can control and manage your online preferences by selecting or de-selecting topics of interest. Your preferences may be used anonymously to influence which types of marketing messages you receive across partner sites that we work with. Or you can choose to not participate at all. (But we encourage you to read on before you decide!)
Charity—It gets better! When marketers pay to access anonymous data from BlueKai, you will be rewarded with a credit to donate to the charity of your choice.
Content—By voluntarily sharing your online preferences, you’re helping marketers provide polite and relevant marketing to you, while they continue to pay the publishers who manage the Web sites you frequent. In return, you will continue to reap the benefits of free content that is available across the Internet.
Check it out: http://www.bluekai.com
http://adage.com/digital/article?article_id=134816
Filed under: Datarati, Twitter, Web Analytics | Tags: Data Insertion API, Omniture API, Twitter API
This is a very very cool integration. Although still in prototype at this stage, if you are using Omniture in your organisation, you can track consumer chatter online within SiteCatalyst.
Check it out: http://blogs.omniture.com/2009/02/23/integrating-twitter-into-web-analytics-inside-omniture-sitecatalyst/?s_scid=twitter
