Former Googlers Build AI Search Technology For Ecommerce

Twiggle’s goal to improve ecommerce by leveraging natural language processing and artificial intelligence means interconnecting bits of information aside from people, places and things so the technology can understand the relationship between words in the next generation of search. The three-year old startup in stealth mode built an ecommerce search engine for companies like Best Buy or Amazon, along with others selling electronics. The search technology understands relationships between words like “light” and “weight.” So when searching for “light laptops,” for example, the queries returns descriptive results such as the weight of the laptop, not the hue or shade of color. The same occurs when typing in words such as “quiet dishwasher.” The engine computes the noise decimal level and returns a list of products. “It’s not a trivial thing,…

Link to Full Article: Former Googlers Build AI Search Technology For Ecommerce

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