US 12,277,748 B2
Systems and methods for managing computer memory for scoring images or videos using selective web crawling
Elham Saraee, Medford, MA (US); Jehan Hamedi, Wellesley, MA (US); and Zachary Halloran, Franklin, MA (US)
Assigned to VIZIT LABS, INC., Boston, MA (US)
Filed by VIZIT LABS, INC., Boston, MA (US)
Filed on Oct. 14, 2024, as Appl. No. 18/915,151.
Application 16/537,426 is a division of application No. 15/727,044, filed on Oct. 6, 2017, granted, now 10,380,650.
Application 18/915,151 is a continuation of application No. 18/587,524, filed on Feb. 26, 2024, granted, now 12,020,471.
Application 18/587,524 is a continuation of application No. 18/466,465, filed on Sep. 13, 2023, granted, now 11,915,469.
Application 18/466,465 is a continuation of application No. 18/200,102, filed on May 22, 2023, granted, now 11,763,546.
Application 18/200,102 is a continuation in part of application No. 17/833,671, filed on Jun. 6, 2022, granted, now 11,804,028.
Application 17/833,671 is a continuation of application No. 17/548,341, filed on Dec. 10, 2021, granted, now 11,417,085.
Application 17/548,341 is a continuation in part of application No. 16/537,426, filed on Aug. 9, 2019, abandoned.
Claims priority of provisional application 63/348,984, filed on Jun. 3, 2022.
Claims priority of provisional application 62/537,428, filed on Jul. 26, 2017.
Prior Publication US 2025/0037421 A1, Jan. 30, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 10/40 (2022.01); G06F 16/438 (2019.01); G06N 3/045 (2023.01); G06V 10/74 (2022.01); G06V 10/82 (2022.01)
CPC G06V 10/761 (2022.01) [G06F 16/438 (2019.01); G06N 3/045 (2023.01); G06V 10/40 (2022.01); G06V 10/82 (2022.01)] 23 Claims
OG exemplary drawing
 
1. A system comprising:
a processor having programmed instructions to:
identify a plurality of content items and a performance metric for each of the plurality of content items;
extract, using a neural network, one or more features from each of the plurality of content items;
compare a set of features of a candidate content item with the one or more features of each of the plurality of content items;
determine a subset of the plurality of content items that are relevant to the candidate content item based on the comparison between the set of features of the candidate content item and the one or more features of each of the plurality of content items;
generate a score for the candidate content item based on the performance metric for each of the subset of the plurality of content items;
determine a subset of the set of features of the candidate content item that each correspond with a decrease or increase in the score for the candidate content item; and
generate a record identifying the subset of the set of features to a graphical user interface (GUI).