Yebol's mission is to build human-like world's knowledge base and provide knowledge based search (semantics) and services.
Yebol utilizes a combination of patented algorithms paired with human knowledge to build a Web directory for each query and each user. Instead of the common “listing” of Web search queries, Yebol automatically clusters and categorizes search terms, Web sites, pages and contents.
Yebol allows for a multi-dimensional search result instead of the normal one-dimensional search seen by most web search engines today. This provides a more accurate summary of top sites and categories; a wider array of related search terms; a longer and richer expansion for query results; and a deeper base of links and keywords in search result pages.
Unlike current search platforms, Yebol provides hundreds of easily identified and accessibly categorized results in one easily navigable page. Our results not only provide users with a rich search experience, but also help them quickly scan the results to find targeted information. In essence, we generate a unique “homepage look” for each search query.
Yebol provides a productive experience for both main types of search – general investigation of a topic and specific target search. For users who want to research and explore a topic, Yebol provides rich information from several dimensions. For users who want a specific type of targeted results, they can quickly focus on their category and navigate to the target.
Yebol was founded by Hongfeng Yin, Ph.D., who has more than 20 years research and development experience on artificial intelligence, pattern recognition, data mining and search. Most recently, Yin worked for more than four years at Yahoo! Data Mining Research team, where he built the core behavioral targeting technologies, products and more than a thousand models, which generate multi-hundred millions revenue.