CPC G06F 16/93 (2019.01) [G06F 16/9038 (2019.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01)] | 20 Claims |
1. A system, comprising:
one or more processors; and
non-transitory computer-readable media storing computer-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
storing a taxonomy of machine-learning classification models, individual ones of the machine-learning classification models configured to receive documents and predict a classification of documents in a document set utilizing predictive analytical techniques, the individual ones of the machine-learning classification models trained based at least in part on a document dataset indicated to be in class from first user input data, the documents comprising patents and patent applications, wherein the individual ones of the machine-learning classification models differ from the documents that the individual ones of the machine-learning classification models are configured to receive and analyze;
generating a user interface configured to accept second user input data representing a search query, the search query including keywords from the second user input data;
receiving the second user input data representing the search query;
generating, utilizing the keywords, a first dataset based at least in part on the search query;
determining, utilizing the first dataset, that at least one machine-learning classification model of the taxonomy of machine-learning classification models was trained by a second dataset similar to the first dataset;
generating, based at least in part on the determining, a recommended machine-learning classification model of the machine-learning classification models determined to be most related to the search query; and
based at least in part on the determining, causing display, via the user interface, of search results for the search query, the search results displaying a visual representation of the taxonomy of machine-learning models along with an emphasized portion of the visual representation associated with the at least one machine-learning classification model of the taxonomy of machine-learning models trained by the second dataset, the search results also indicating the recommended machine-learning classification model.
|