Invention Grant
- Patent Title: Iterative image search algorithm informed by continuous human-machine input feedback
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Application No.: US15688362Application Date: 2017-08-28
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Publication No.: US10467267B2Publication Date: 2019-11-05
- Inventor: Sydney Nicole Epstein , Paul Lawrence Epstein
- Applicant: Sydney Nicole Epstein , Paul Lawrence Epstein
- Agency: Nixon Peabody LLP
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06F16/33 ; H04L29/08 ; G06F3/0484 ; G06Q30/06 ; G06F16/51 ; G06F16/58 ; H04W4/021

Abstract:
System and computer-implemented method of analyzing tags associated with a sequence of images presented to a user to present a current interest of the user is disclosed. An image from among a plurality of images is presented on an electronic display. The image is associated with a set of tags. An input is received indicating a user's preference for the image. A plurality of tags is processed based on the preference and the set of tags to determine a next set of tags from the plurality of tags. A next image is determined from the plurality of images based on the next set of tags. The next image represents a physical object, different from a physical object represented by the previous image. A sequence of images is generated by repeating the above process with the next image in place of the previous image for present a user's current interest.
Public/Granted literature
- US20170357715A1 ITERATIVE IMAGE SEARCH ALGORITHM INFORMED BY CONTINUOUS HUMAN-MACHINE INPUT FEEDBACK Public/Granted day:2017-12-14
Information query