Yebol has announced the conclusion of its beta test period and the launch of its semantic search engine, Yebol.com, to provide users with a search technology platform aimed at better results. With its July 2009 beta launch, Yebol unveiled leading semantic-decision search technology. Its advanced application of algorithms paired with human knowledge results provides the first truly human-like world’s knowledge base and makes it possible to generate richer, more comprehensive search results displayed on a single page. Since July 2009, Yebol has progressed from these raw initial advances and has focused on providing the internet user with the best search experience available, better than the current indexed formats of most major search engines.
Previously, search engines have vied to provide one of two primary search experiences, namely: (1) the “homepage” format, which expresses a comprehensive categorical summary about any given search term, and (2) the absolute relevance format, which seeks to return highly targeted results precisely matching the intent of the user, no more, no less. Yebol’s effort to reconcile these two formats hinges on its new user interface, leveraging its technology to achieve results containing not only the most complete selection of information on a search topic, but also the most relevant based on user intent.
To fully achieve this, Yebol adapted its user interface, by pioneering a categorical tree system, capable of expressing a true homepage for any given search term, while also visually displaying results matching user intent. A single decision search result parsed into a tree format yields a compendium of a topic, in categoric summation.
Another breakthrough has been the progression from covering 10 million search terms to now generating its dynamic results for any conceivable search term. “In order to win user trust, we knew our format had to apply to all possible search terms,” said Hongfeng Yin, Yebol Founder and President. “Google’s success in search has been in no small part due to consistency of results – users know what they are going to get each and every search. Yebol is now equally as reliable, but offers a far richer results return, versus Google’s indexed approach. Yebol provides more comprehensive and more accurate results.”
Yebol’s format utilizes a combination of patented algorithms paired with human knowledge to build a revolutionary Web directory for each search term. Instead of the endless pages of seemingly random links generated by other search engines, Yebol automatically clusters search results into highly-concentrated and well-organized groups of term-specific categories. The user interface then edits these groups of categories and generates a display of the results in an easily utilized results tree. The resulting single page snapshot allows users to quickly scan hundreds of types of accurate results to find exactly the information they are seeking.
The technological backbone of Yebol is fluid and dynamic. Every facet of its algorithm system and user interface is scalable. Says Yin, “ Yebol is geared to generate knowledge-base results not only for all possible current search topics but also to adapt itself to process and include new search topics as they develop in the future.”
While Yebol was initially developed for the English language market, its functionality allows it to be applied to any language and work is underway to complete these bridges. Greatest interest has been expressed in the Chinese market, where thousands of Chinese citizens already use Yebol’s beta for their English-language searches. Talks are underway with both investors and partners, such as Baidu, that including both licensing and acquisition. “There is no reason why Yebol cannot provide the same exact user experience to internet users in every language,” said Dr. Yin. “Ideally, we would like to see our format provide a significant portion of the search engine service to every country in the world, allowing it to be a point of technological union, a common search tongue so to speak, as everyone learns to search for and process informational results in a similar way.”
Yebol was founded by Hongfeng Yin, Ph.D., former Yahoo engineer, with more than 20 years of R & D experience on artificial intelligence, pattern recognition, data mining and search. For more information, please visit www.yebol.com.