Yebol
Encyclopedia
Yebol is a vertical "decision" search engine
that had developed a knowledge-based, semantic search
platform. Based in San Jose, CA
, Yebol's artificial intelligence
human intelligence-infused algorithms automatically cluster and categorize search results, web sites, pages and contents that it presents in a visually indexed format that is more aligned with initial human intent. Yebol uses association, ranking and clustering algorithms to analyze related keywords or web pages. Yebol presents as one of its goals the creation of a unique "homepage look" for every possible search term.
and Bing. Yebol sees the Future of Search as being very different than today's current Pay-Per-Click dominated structure. Its public beta version launched July 27, 2009, at which time Yebol announced that it covers 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 search nature of today's major index 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." The website shows the domain name as having expired March 4, 2011, but as of March 17 the expiration date has been renewed to 2013.
Yebol estimates it will cover, by early Q1 2010, all existing permutable search terms in its intelligent search results format. Its strategy involves incorporating internet meme theory and Optimization (mathematics)
to drive and attract new users. Yebol integrates natural language processing, metasynthetic-engineered open complex systems, and machine algorithms with human knowledge for each query to establish a web directory that actually 'learns,' using correlation, clustering and classification algorithms to automatically generate the knowledge query, which is retained and regenerated forward.
for each web search query. Yebol has focused on developing a list of algorithms of association, clustering and categorization for automatically generating knowledge for question answering, latent semantic analysis
web sites, web pages and users.
Yebol also integrates human labeled information into its multilayer perceptron
and information retrieval
algorithms. This technology allows for a multi-dimensional search results format: best-first search and higher – summary of top sites and categories for queries; wider – related search terms; longer – results of expansion terms for the queries; deeper – inside links and keywords of search result pages. Instead of a multi-page, selection-based search results format, Yebol provides a categorized structure of results on one screen, aimed at creating a "homepage" for any given topic, which is attuned to an advanced hybrid version of bayesian search theory
and collaboration graph
theory. The totality of a topic will ideally be embedded there fully in such a "homepage" search return, thus making that page an authoritative summation source in itself.
Search engine
A search engine is an information retrieval system designed to help find information stored on a computer system. The search results are usually presented in a list and are commonly called hits. Search engines help to minimize the time required to find information and the amount of information...
that had developed a knowledge-based, semantic search
Semantic search
Semantic search seeks to improve search accuracy by understanding searcher intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results. Author Seth Grimes lists "11 approaches that join...
platform. Based in San Jose, CA
San Jose, California
San Jose is the third-largest city in California, the tenth-largest in the U.S., and the county seat of Santa Clara County which is located at the southern end of San Francisco Bay...
, Yebol's artificial intelligence
Artificial intelligence
Artificial intelligence is the intelligence of machines and the branch of computer science that aims to create it. AI textbooks define the field as "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions that maximize its...
human intelligence-infused algorithms automatically cluster and categorize search results, web sites, pages and contents that it presents in a visually indexed format that is more aligned with initial human intent. Yebol uses association, ranking and clustering algorithms to analyze related keywords or web pages. Yebol presents as one of its goals the creation of a unique "homepage look" for every possible search term.
Features
Yebol aims for absolute relevance and eliminating the need for refined, secondary, or advanced search steps, as currently required by GoogleGoogle search
Google or Google Web Search is a web search engine owned by Google Inc. Google Search is the most-used search engine on the World Wide Web, receiving several hundred million queries each day through its various services....
and Bing. Yebol sees the Future of Search as being very different than today's current Pay-Per-Click dominated structure. Its public beta version launched July 27, 2009, at which time Yebol announced that it covers 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 search nature of today's major index 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." The website shows the domain name as having expired March 4, 2011, but as of March 17 the expiration date has been renewed to 2013.
Yebol estimates it will cover, by early Q1 2010, all existing permutable search terms in its intelligent search results format. Its strategy involves incorporating internet meme theory and Optimization (mathematics)
Optimization (mathematics)
In mathematics, computational science, or management science, mathematical optimization refers to the selection of a best element from some set of available alternatives....
to drive and attract new users. Yebol integrates natural language processing, metasynthetic-engineered open complex systems, and machine algorithms with human knowledge for each query to establish a web directory that actually 'learns,' using correlation, clustering and classification algorithms to automatically generate the knowledge query, which is retained and regenerated forward.
Technology
Yebol's technology format incorporates aspects of automated results generation web search engines, such as Google, with those of metasearch and other human-authored results search engines. Yebol is designed to utilize a combination of patented meta elements and search algorithms paired with human-based computation to build a Web directoryWeb directory
A web directory or link directory is a directory on the World Wide Web. It specializes in linking to other web sites and categorizing those links....
for each web search query. Yebol has focused on developing a list of algorithms of association, clustering and categorization for automatically generating knowledge for question answering, latent semantic analysis
Latent semantic analysis
Latent semantic analysis is a technique in natural language processing, in particular in vectorial semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms. LSA assumes that words that are close...
web sites, web pages and users.
Yebol also integrates human labeled information into its multilayer perceptron
Perceptron
The perceptron is a type of artificial neural network invented in 1957 at the Cornell Aeronautical Laboratory by Frank Rosenblatt. It can be seen as the simplest kind of feedforward neural network: a linear classifier.- Definition :...
and information retrieval
Information retrieval
Information retrieval is the area of study concerned with searching for documents, for information within documents, and for metadata about documents, as well as that of searching structured storage, relational databases, and the World Wide Web...
algorithms. This technology allows for a multi-dimensional search results format: best-first search and higher – summary of top sites and categories for queries; wider – related search terms; longer – results of expansion terms for the queries; deeper – inside links and keywords of search result pages. Instead of a multi-page, selection-based search results format, Yebol provides a categorized structure of results on one screen, aimed at creating a "homepage" for any given topic, which is attuned to an advanced hybrid version of bayesian search theory
Bayesian search theory
Bayesian search theory is the application of Bayesian statistics to the search for lost objects. It has been used several times to find lost sea vessels, for example the USS Scorpion.-Procedure:The usual procedure is as follows:...
and collaboration graph
Collaboration graph
In mathematics and social science, a collaboration graph is a graph modeling some social network where the vertices represent participants of that network and where two distinct participants are joined by an edge whenever there is a collaborative relationship between them of a particular kind...
theory. The totality of a topic will ideally be embedded there fully in such a "homepage" search return, thus making that page an authoritative summation source in itself.