Bay Area Search

  • April 24, 2013 · 6:30 PM

2 fabulous presentations by excellent speakers.


App Search

Speaker: Liron Shapira, co-founder and CTO, Quixey


Quixey's Functional Search™ is the leading search engine for apps on all platforms, powering app search for partners such as and Sprint. This tech talk will cover:

  • Quixeys unique model of the app universe
  • Our machine learning approach to app search
  • The challenges of scaling to power major partners
  • Quixey's plan for the next phase of app search.


Liron Shapira is the co-founder and CTO of Quixey, The Search Engine for Apps. Liron invented Quixey's Functional Search™, which supports natural-language queries and matches apps on all platforms. He is an advisor to the Center for Applied Rationality and the Machine Intelligence Research Institute. He has a BA in Computer Science with high honors from UC Berkeley.


How to Create a best-in-class Natural Language Search experience using a new, revolutionary linguistic framework: The Meaning-Text Theory

Speaker: Jordi Torras, Founder and CEO, INBENTA


Natural Language Search is basic tool to make sure queries entered at a public-facing website return meaningful answers. We don't need documents that contain the words we typed in a search box, we need documents that answer our questions. How can we accomplish that? The meaning-text theory, gives a totally new approach to the problem, with very interesting results, proven in many industries.


I founded INBENTA in 2005, intented to help companies communicate better with customers and employees through the Web using a number of radically innovative technologies. Since its foundation, INBENTA has grown at yearly 100% growth, thus doubling revenue every year.


6:30 Eat & Greet

7:00 Talk - Great speakers, good food, free beer.

Event will be held at the eBay campus just off 17/880 @ Hamilton in the main Community building.  Look for lobby/flagpole.

Wifi: eBayGuest/BuyItNow!

I'm always looking for speakers.  Please suggest speakers or topics you would like to hear.


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