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OneRiot, a social search engine, announced today that its search results pages now update in real time with content from Twitter, Digg and the wider social web.

Results are prioritized based on an algorithm of about 26 factors, filtered for spam, and unduplicated if links are shared through multiple URL-shortening services. There are two search modes: Users can browse real-time results or (in "pulse" mode) see links ranked by social relevance. We spoke with a caffeinated and exuberant Tobias Peggs, general manager at OneRiot, about 20 minutes before the new release went live at 9 a.m. "We're trying to get a sense of current social relevance; what are people talking about right now," he said. And more than any competing product currently available, OneRiot succeeds.

Do you like to know what sort of music, movies, books, and other things your friends like? If so, you have a couple of options for following your friends' interests on the web today. You can either join a social network dedicated to sharing this information (think Goodreads, Flixster, Last.fm) or you can follow your friends on lifestreaming service like FriendFeed where you might happen upon a shared interest somewhere in their stream of updates. A third option would be to only see your friends' interests in context when you were actively viewing a book, movie, album, etc. on the web.

...And Continues To Be Awesome!

If you're a Firefox and Google Reader user and you haven't yet installed the Feedly plugin, you're going to want to install it today after you hear this: Feedly has now integrated its own results - that is, links to the relevant posts from your Google Reader - right into your Google search results. This integration essentially adds a layer of social search directly into Google, and all with no extra work on your part besides simply having installed the plugin.

Information overload is a topic that keeps coming up, especially among users of social media services. As you add more friends and more services, the amount of content produced can become overwhelming to keep up with which leads to quality items being lost amongst the "noise." Noise-reducing apps like AideRSS or Moopz (both of which we love) highlight the best content, but their one drawback is that they determine relevance based on what the community thinks - and that may or may not be what you find interesting or important. With the new social search service from Delver, however, you can leverage your social graph to find just the information you're looking for from the people you admire and/or trust and that makes finding content a much more personal experience.

The most impressive thing about the new search engine Delver is that it knows who you are and who your friends are even if you don't import your address book or add your social networking profiles. Instead, Delver leverages the social graph to map out a user's social connections. Since everyone's social graph is unique, like a fingerprint, the same query will yield vastly different results for each user. The results are more personal and meaningful to users than a generic search using "normal" search engine.

In a recent interview with VentureBeat, Marissa Mayer, Google's VP of Search Products & User Experience, spoke of Google's interest in social search and their future plans in that area. Social search, which may be the defining quality of Google's next generation of search products, is any search that is aided by a social interactions or connections. Offline, social search happens everyday. For example, when you ask a friend for a recommendation on a movie to see or a good restaurant, you're essentially doing a verbal social search. Online, social search has not been incorporated in Google's search results yet, but Mayer says that will change in time.