By giving a search engine some basic demographic information, such as age, gender and educational background, it is possible to boost the engine's chances of
identifying user intent correctly, say Weber and Castillo.
Not exact matches
«For example, we have integration with Twitter (TWTR) called «tailored audiences,» which lets us
identify a
user who gives an
intent signal on his desktop,» Berke explains.
«Now we parse the language of the query to
identify the
user's
intent so we can provide a specific answer.»
It helps software discern the
intent of a
user's question, and it
identifies key phrases and information within unstructured data that are critical for better search results.
Voice - initiated products start to stream
user speech to AVS when a wake word, such as «Alexa», is detected by the wake word engine; the stream is closed when the
user stops speaking or
user's
intent has been
identified and the service returns a StopCapture directive.
The stream is closed when the
user stops speaking or
user's
intent has been
identified and the service returns a StopCapture directive.