Feature Story: Online image searches made easier through data science
| dc.contributor.author | External Relations, University of Regina | |
| dc.date.accessioned | 2022-04-22T19:42:42Z | |
| dc.date.available | 2022-04-22T19:42:42Z | |
| dc.date.issued | 2019-04-11 | |
| dc.description.abstract | Type "fancy cheese" into Google search and up pops a grid of images displaying everything from "Fancy Cheese for your Zodiac Sign" to "Fancy Pants Mac-n-Cheese." The sheer volume of images from which to choose boggles the mind; however, you can narrow your search by selecting from a dubious set of categories that range from "cheese board" to "armpit". The options list is based on an algorithm that does not appear to follow any kind of easily detectable alphabetical or hierarchical order, making what seems like it should be a simple search rather daunting, not to mention time consuming. | en_US |
| dc.description.authorstatus | Staff | en_US |
| dc.description.peerreview | no | en_US |
| dc.identifier.uri | https://hdl.handle.net/10294/14664 | |
| dc.language.iso | en | en_US |
| dc.publisher | External Relations, University of Regina | en_US |
| dc.subject | Orland Hoeber | en_US |
| dc.title | Feature Story: Online image searches made easier through data science | en_US |
| dc.type | Other | en_US |
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