System and Method for Analyzing and Searching for Features Associated with Objects
Assignee9206868 Canada Inc.
InventorsMaria Carolina BESSEGA, Jaime Rafael CAMACARO
Life of this patent
Estimating the term…
Abstract
There is provided a system and method for analyzing features associated with objects. The method comprises obtaining one or more images associated with corresponding one or more objects; passing each image through a plurality of models to generate feature vectors for each object; combining feature vectors for each object when multiple feature vectors are produced; generating similarity measures for the feature vectors; and storing the feature vectors to enable the features to be searched, filtered and/or retrieved.
Claims17
A method of analyzing features associated with objects, the method comprising:
- obtaining one or more images associated with corresponding one or more objects;
- passing each image through a plurality of models to generate feature vectors for each object;
- combining feature vectors for each object when multiple feature vectors are produced;
- generating similarity measures for the feature vectors;
- and
- storing the feature vectors to enable the features to be searched, filtered and/or retrieved.
A method of generating a recommendation based on online interactions with one or more merchants, the method comprising:
- detecting one or more online interactions by an online user with a merchant;
- storing user-related data based on the detected interactions;
- detecting further online interactions with the merchant or a new merchant;
- retrieving the user-related data and additional data associated with the online user and/or one or more similar users;
- generating one or more recommendations using the retrieved data and data stored for objects based on one or more images associated with corresponding one or more objects;
- and
- displaying the one or more recommendations or sending the one or more recommendations via a medial channel.
A non-transitory computer readable medium comprising computer executable instructions for analyzing features associated with objects, comprising computer executable instructions for:
- obtaining one or more images associated with corresponding one or more objects;
- passing each image through a plurality of models to generate feature vectors for each object;
- combining feature vectors for each object when multiple feature vectors are produced;
- generating similarity measures for the feature vectors;
- and
- storing the feature vectors to enable the features to be searched, filtered and/or retrieved.
A non-transitory computer readable medium comprising computer executable instructions for generating a recommendation based on online interactions with one or more merchants, comprising computer executable instructions for:
- detecting one or more online interactions by an online user with a merchant;
- storing user-related data based on the detected interactions;
- detecting further online interactions with the merchant or a new merchant;
- retrieving the user-related data and additional data associated with the online user and/or one or more similar users;
- generating one or more recommendations using the retrieved data and data stored for objects based on one or more images associated with corresponding one or more objects;
- and
- displaying the one or more recommendations or sending the one or more recommendations via a medial channel.
A system comprising a processor, memory, and an interface with a plurality of merchants, the memory comprising computer executable instructions for analyzing features associated with objects, comprising computer executable instructions for:
- obtaining one or more images associated with corresponding one or more objects;
- passing each image through a plurality of models to generate feature vectors for each object;
- combining feature vectors for each object when multiple feature vectors are produced;
- generating similarity measures for the feature vectors;
- and
- storing the feature vectors to enable the features to be searched, filtered and/or retrieved.
A system comprising a processor, memory, and an interface with a plurality of merchants, the memory comprising computer executable instructions for generating a recommendation based on online interactions with one or more merchants, comprising computer executable instructions for:
- detecting one or more online interactions by an online user with a merchant;
- storing user-related data based on the detected interactions;
- detecting further online interactions with the merchant or a new merchant;
- retrieving the user-related data and additional data associated with the online user and/or one or more similar users;
- generating one or more recommendations using the retrieved data and data stored for objects based on one or more images associated with corresponding one or more objects;
- and
- displaying the one or more recommendations or sending the one or more recommendations via a medial channel.
Dependencies are inferred from the claim text.