Ness Computing

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Ness Computing was a personal search company. It was acquired by OpenTable in March 2014 and was shut down later that year.{{cite web|last=Lunden|first=Ingrid|title=OpenTable Buys Ness For $17.3M|url=https://techcrunch.com/2014/02/06/opentable-ness/|work=TechCrunch|date=6 February 2014 |accessdate=26 March 2014}}

It was founded in October 2009 by Corey Reese,{{cite web |url=http://www.linkedin.com/in/coreyreese |title=Corey Reese |website=LinkedIn}} Paul Twohey,{{cite web |url=http://www.linkedin.com/in/twohey |title=Paul Twohey |website=LinkedIn}} Nikhil Raghavan,{{cite web |url=http://www.linkedin.com/in/nikhilraghavan |title=Nikhil Raghavan |website=LinkedIn}} and Steven Schlansker.{{cite web |url=http://www.linkedin.com/in/stevenschlansker |title=Steven Schlansker |website=LinkedIn}} The company was headquartered in Los Altos, California.

Ness aimed to help people make decisions about dining, nightlife, entertainment, shopping, music, travel and more. The company referred to its technology as the "Likeness Engine", a combination of a recommendation engine that used machine learning to look at data from diverse sources and a traditional search engine that served up results based on these signals.

The free Ness Dining App (for iPhone) was referred to as the Netflix{{Cite web|url=http://eater.com/archives/2011/08/26/ness-iphone-app-recommends-restaurants-using-likeness-score.php|title = Ness iPhone App: A Handy Restaurant Recommendation Tool|date = 26 August 2011}} or Pandora{{Cite web|url=http://gigaom.com/2011/08/25/ness-restaurant-app/|archive-url=https://web.archive.org/web/20110910194224/http://gigaom.com/2011/08/25/ness-restaurant-app/|url-status=dead|archive-date=September 10, 2011|title = Meet Ness, the Pandora for restaurant recommendations|date = 25 August 2011}} for restaurants. Based on a user's ratings and preferences, the service delivered recommendations for a particular time, location, price range, and cuisine preference. Users could view the menu for a place via SinglePlatform,{{cite web |url=http://www.singleplatform.com/ |title=Home |website=singleplatform.com}} browse Instagram photos tagged at the restaurant, and make reservations in the app via OpenTable.

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