Patent ID: 11861644
Assignee: MULBERRY TECHNOLOGY INC.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. A non-transitory processor-readable medium storing code representing instructions configured to be executed by a processor to cause the processor to:
retrain a pretrained image classifier, including:
accessing training data collected from a plurality of webpages, the training data including a plurality of images,
ascertaining a number of product classes represented in the training data,
replacing a final layer of the pre-trained image classifier with a layer that is configured to classify an image into one of a number of classes that is equal to the number of product classes represented in the training data to produce a modified image classifier, and
train the modified image classifier with the training data to produce the trained machine learning image classifier;

receive an indication of text content and an indication of image content appearing on a webpage offering a product for sale;
identify a plurality of types of text content from the indication of text content;
apply at least one trained machine learning text classifier from a plurality of trained machine learning text classifiers to each type of text content from the plurality of types of text content to output a plurality of predicted text product classes;
subject the plurality of predicted text product classes to a voting filter such that a predicted text product class from the plurality of predicted text product classes that is associated with fewer than a threshold number of types of text content from the plurality of types of text content is discarded and not provided to a trained combination machine learning classifier;
apply the trained machine learning image classifier to the image content to produce an image classification;
apply a trained combination machine learning classifier to the image classification and the plurality of predicted text product classes, excluding the predicted text product class that is associated with fewer than a threshold number of types of text, to predict a combined classification of the product; and
offer a warranty for the product based on the combined classification of the product.