You are here:  Home  >  Data Education  >  Big Data News, Articles, & Education  >  Current Article

Blekko: Human-Influenced Search

By   /  September 17, 2012  /  No Comments

by Angela Guess

Andre Bourque of Technorati recently interviewed Blekko CTO Greg Lindahl. Bourque begins, “Years ago the federal government launched a project where they had millions of documents that needed to be assessed and then declassified. It was much too large a job for human curation, so a method needed to be designed and implemented that would assure one hundred percent accuracy when determining if in fact the document should be declassified. The gist of the design was to use Google type documentation database handling in conjunction with plagiarism matching algorithms that were weighted for classified data. The objective was to differentiate classified, and declassified content. In the end, it was determined that it was always necessary to involve a human element to ensure accuracy. Years later, search engine provider Blekko is proving the same theory: necessary human element involvement ensures accuracy.”

He goes on, “I had the great fortune to mingle with the who’s-who of CTOs and CIOs at the NoSQL Now! conference last month in San Jose. I met with Blekko CTO Greg Lindahl at dinner one night and he explained it to me: In the world of search, it’s not just about the data, it’s how you enable people to access it. Using the same coarse granularity Google uses, Blekko retrieves pertinent search data based on user query data. Once the query results are received, they are sorted and presented to the user in a familiar text format. Lindahl explains how the company’s search is based on three distinguishing elements: (1) Algorithm inclusive of user input. (2) Customizable search engine settings. (3) Transparency. Collectively, these elements are what set Blekko apart from the company’s larger, search engine rivals.”

Read more here.

photo credit: Blekko

You might also like...

Data Security in the Cloud

Read More →