Avoiding Search Overload
Like you, we’ve heard a lot this summer about the challenges facing America: the financial crisis, healthcare reform, and worst of all: search overload.
Well, here at Swingly HQ, we’ve been doing our part. We’ve been trying to find new ways to figure out what kinds of information are most relevant to a particular search topic.
While relevance modeling isn’t exactly new, it’s becoming an increasingly important problem for semantic search applications. Information Extraction apps are rapidly increasing the amount of factual information that’s available from the Internet. That’s good. Unfortunately, instead of being buried under mountains of irrelevant information, we’re now being overwhelmed with gigabytes of factual information which may (or may not) be exactly what we’re looking for. That’s bad.
So, what’s a new semantic search app to do? Full details after the jump.
Tags: relevance, search, semantic search, Swingly