Cascaad has developed patent-pending social-graph and semantic relevance ranking technologies that specifically address the nature of the real-time social web, making it easier to organize and surface personally-relevant news, conversations and other topics.
Information discovery so far…
Two dominant modes of information discovery have characterized the web 2.0 era so far:
…And its obvious limitations
Going beyond the current approaches
Cascaad exploits the “wisdom of the graph”, where each user has a different influence on all other users that is dictated by the observed social paths that join them. The “wisdom-of-the-graph” method behind Cascaad’s real-time social ranking provides the basis for a massively-scalable personalized filtering of relevant items that reflects an individual’s extended sphere of influence. In order to increase statistical significance, this scoring takes into account all types of explicit and implicit cues found in activity streams about the attention received by a message. Moreover, the Cascaad engine also involves automatic semantic profiling to merge into the social graph the interest graph for individual users and thus further distill the items that match their personal interests.
What makes Cascaad’s technology unique
As a result, the key advantages of Cascaad compared with existing content discovery services are:
Although Cascaad provides relevance-ranked real-time search, the most natural modality for current information consumption of content on the real-time Web is push rather than pull and push-based personalized discovery is indeed where we are focusing our attention!