The New Search Engine: Pervasive Socially-Mediated Search Feed Mash-ups

Command line search is being replaced with NLU (Natural Language Understanding).  The static search page is being replaced with a search feed.

The Samsung Intel backed app called MindMeld can listen to a conversation of up to eight people at once and creates a dynamic search engine results feed.

Mindmeld is being targeted at networked chat.  However the same search feed technology is well suited to a pervasive ubiquitous paradigm, as user experience flows between glass, phone, tablet, laptop, browser, and etc.    A pervasive record of device use (desktop, browser, phone, text, geo) over hours, days and years allows search engines to find and use hyper personalized (and valuable) preference patterns in deep time.  Again, it’s worth emphasizing that the search results would be a dynamic feed rather than a static results page.  So the context of the users situation and (forward/backward) patterns in time would constantly be aggregated into the feed.  What is the user browsing now?  What email conversations are they having?  Where are they?

Socially mediated search – social dynamics and information patterns from parallel (pervasive) records are also important.  One major paradigm change in networked data is the mash-up.  When feeds collide amazing things happen.  Humans are social animals.  When rich social pathways are used to direct data collision, value is created.  Exposing parallel search feeds across the network (and exposing contexts in search feed information pathways) allows for social search grooming and re-versioning.

Data visualization tools are a good place to look for search feed mash-up gamification possibilities and using search for social collision.   

This  presentation on MindMeld technology and mapping techniques can be applied to visualization tools and dynamic data.