Apple could smarten up Siri using crowdsourcing
Apple software users who’re frustrated when Sire fails to reply to a query could someday be ready tap into the gang to get a greater response.
The Apple patent software “Crowd sourcing data to satisfy consumer requests,” published Thursday through the United States Patent and Trademark place of job, envisions just a few easy methods to assist Sire when it comes up empty.
Sire usually relies on such websites as Bing, Yelp, and Wolfram Alpha to collect the info wanted to reply to a question. However from time to time these sources are not geared up to offer an accurate response, particularly if the question itself is phrased in a method that appears to confuse Sire.
Instead Apple’s invention would use other sources, reminiscent of skilled data services and products, basic knowledge sources, and on-line Q&A boards to offer information. Questions and answers are also stored in a crowd-sourced data base that Sire would get entry to. such a data base can be searched the use of pure language queries, providing a greater shot at answering questions that may in any other case stump Sire.
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These other sources could come into play robotically if Sire is unable to respond to a question. Or that you may select a specific source to test when asking the query. You have to also charge the response to your query, which might then help Sire study from its hits and misses.
However the more difficult the query, the longer you will have to wait for a response. The patent software suggests a range of time frames, from a couple of minutes to several weeks, depending on the nature of the request and the helpful information required from the exterior source.
As Apple describes it in the average patentees:
A user request is received from a cellular client instrument, the place the user request comprises at the least a speech enter and seeks an informational resolution or efficiency of a task. A failure to supply a satisfactory response to the consumer request is detected. In response to detection of the failure, data related to the user request is crowd-sourced with the aid of querying a number of crowd sourcing information sources. A number of answers are obtained from the gang sourcing data sources, and the response to the consumer request is generated in keeping with at least probably the most one or more solutions acquired from the one or more crowd sourcing information sources.
A patent utility doesn’t essentially imply the expertise will reach the shopper market. However crowd sourced knowledge looks like a logical next step in Sari’s ongoing evolution.