System and a method of generating a training set of data for training a machine-learning algorithm
US-2024232709-A1 · Jul 11, 2024 · US
US9147205B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9147205-B2 |
| Application number | US-201213811643-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 5, 2012 |
| Priority date | Jun 5, 2012 |
| Publication date | Sep 29, 2015 |
| Grant date | Sep 29, 2015 |
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Technologies are generally described for obtaining consumer survey responses encoded on a reactive tag associated with an item. Prior to distributing a product to consumers, a manufacturer may affix a reactive tag to the item for gathering consumer feedback about the product. Consumer survey questions and responses may be encoded on the reactive tag, and the consumer may be able to remove a portion of the tag in order to select a consumer survey response. The reactive tag may be configured to react to the removal of a portion of the reactive tag by encoding data on the reactive tag for the consumer response and/or changing a physico-chemical state of the reactive tag for storing the consumer survey responses. When the consumer has finished with the product, the product may be received at a recycling facility, where a machine may scan the reactive tag to retrieve consumer survey responses.
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What is claimed is: 1. A method to obtain consumer information through a reactive tag, the method comprising: encoding a two-dimensional matrix code in a series of dots on the reactive tag, wherein each dot of the two-dimensional matrix code is a removable label that corresponds to one or more customer survey responses; receiving selection of the one or more customer survey responses through manual actions; in response to selection of the one or more customer survey responses…
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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