Vivisimo was a search engine that was founded in 2000 by three computer science researchers at Carnegie Mellon University. It was acquired by IBM in 2012 and is now branded as IBM Watson Explorer. Vivisimo specialized in federated search and document clustering. For example, Vivisimo clustering could divide the results of a search for "cell" into groups including "biology", "battery", and "prison". Vivisimo software supported both structured and unstructured information.
Vivisimo's public web search engine, Clusty, was a metasearch engine with document clustering. It was sold to Yippy, Inc. in 2010. Clusty was one of the first search engines to use clustering technology to organize search results. This made it easier for users to find the information they were looking for, especially in large or complex datasets.
Vivisimo was a popular search engine for a time, but it has since been eclipsed by Google and other more mainstream search engines. However, Vivisimo's clustering technology is still used in some commercial products, such as IBM Watson Explorer.
Here are some of the features of Vivisimo:
Federated search: Vivisimo could search multiple sources of information, including websites, databases, and files.
Document clustering: Vivisimo could group search results into clusters based on their content. This made it easier for users to find the information they were looking for.
Personalization: Vivisimo could personalize search results based on a user's interests and search history.
Social search: Vivisimo could incorporate social media signals into search results. This helped users to find information that was popular or shared by their friends.
Vivisimo was a powerful search engine that offered a number of features that were not available in other search engines at the time. However, it was not able to compete with Google's dominance in the search engine market. Vivisimo is still a valuable technology, and its clustering technology is still used in some commercial products.
Sources
en.wikipedia.org/wiki/Vivisimo#:~:text=History,its Big Data Analytics capabilities .