April 11, 2008: SearchEngineJournal interviews the CTO of Relona

Arun Radhakrishnan interviews Kumar Ramanathan for SEJ.

April 7, 2008: SearchEngineJournal features the improvements produced by Relona's intent-analysis algorithm

It is not everyday that you come across search technology that challenges the established leaders in the search space - that too on the grounds of relevancy ... (read more >>>)

March 5, 2008: Relona Releases Version 3 and Completes Performance Studies of Relona vs Google/Yahoo/Ask.com/MSN-Live

Version 3 demonstrates a clear benefit over current search algorithms. The demo clearly illustrates how Yahoo/Ask/MSN-Live might use Relona's technology to catch up with Google.

Relona has conducted detailed studies using AOL's search-logs to determine the exact benefits that this technology brings to each of Yahoo, Ask.com and MSN-Live. View the presentations below to learn more:

Relona's benefits for Yahoo

Relona's benefits for Ask.com

Relona's benefits for MSN-Live

Relona's benefits for Google

Methodology of Comparison Studies - This presentation describes how the studies comparing the relevance of Relona with Yahoo, Ask, Microsoft, and Google were conducted. View this to gain a deeper understanding of the numbers discussed in the above presentations.

December 5, 2007: Relona Releases Version 2

An updated version of Relona's algorithm now improves Yahoo's relevance for shorter queries. With this update, Relona is able to enhance the average search-query entered by users.

June 8, 2007: Search Engine Lowdown Suggests that Relona's Technology may be a 'Google Killer'

Jeremy Swiller writes that refinement systems such as Relona can be used by search-engines to immediately increase their value to users.

May 15, 2007: Relona Releases Public Demo of an Intent-Based Search Engine

Relona's algorithm delivers search-results that are better aligned with a user's search-intent. The algorithm uses statistical analysis techniques to improve the accuracy of Yahoo's search back-end. Relona's demo is based on Yahoo's search API, but it delivers results that are often significantly more relevant.