San Jose, CA–Yebol is a general “decision” search engine that has developed a semantic search platform. Yebol’s artificial/human-infused intelligence algorithms automatically cluster and categorize search results, web sites, pages and contents that it then presents in a visually indexed format that is designed to be more alligned with initial human intent. Yebol applies association, ranking and clustering algorithms to analyze related keywords, categories and web pages. Yebol presents as one of its goals the creation of a unique “homepage look” for every possible search term.
Yebol says it aims for absolute relevance and eliminating the need for refined, secondary, or advanced search steps, as currently required by Google, Yahoo! and others. Yebol sees the Future of Search as being very different than today’s current Pay-Per-Click dominated model. Its public beta version launched July 27, 2009, at which time Yebol announced that it covered in excess of 10 million search terms with its current knowledge-based search/organized results format. In fact, Yebol says its main distinction is its verticality (versus the horizontal nature of today’s major indexing search engines). Like all engines, Yebol uses “a recursive procedure in which an automatic problem solver seeks a solution by iteratively exploring sequences of possible alternatives.”