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Experience




Quality Information By Collaboration

Our Technology

Our patent-pending technologies are mainly based on user collaboration in distributed environments such as the Internet and cellular networks.  Here are just a few of our technologies that create value for our clients and their users.

Inspired By Case Western Reserve University (CWRU)

Our technology was inspired in part by the USA National Science Foundation Program on Coordination Theory and Collaborative Technology grant at CWRU and the resulting technologies of the late 1990's.

Causal Collaborative-Filtering

Causal Collaborative-Filtering (CCF) technology increases the usefulness of a product or review by causal analysis of over 20 factors related to the user creation of the review content.  In addition to increasing the usage of reviews of over 300% we showed over 500% increase in reviews generation/participation using CCF.

Characteristic Relevancy of Information 

Each access point in a reviews and ratings system has characteristics that until Collabotive's technologies, were ignored when it came to relevancy and content analysis.  By utiilizing these characteristics we have already shown the resulting content of the access point can have greater relevancy to specific user categories versus other user categories.