Personalized recency and time-aware system
AssigneeeBay Inc.
InventorEliyahu Kiperwasser
Life of this patent
Estimating the term…
Abstract
Systems, methods, and computer-storage media provide content item retrieval that is personalized and time aware for a user. Interaction tracking is performed to identify content items with which the user has interacted and time data indicative of when the user interacted with each content item. A machine learning model is trained using the content items and the time data associated with each content item. Once trained, the machine learning model is used to generate a relevance score for each of a number of target content items. At least a portion of the target content items are provided for presentation to the user based on the relevance scores.
Claims20
A computer-implemented method comprising:
- identifying a plurality of content items with which a user has interacted and a time stamp for each content item indicative of when the user interacted with the content item;
- training a machine learning model using the content items and the time stamp for each content item to generate a trained machine learning model;
- generating, using the trained machine learning model, a relevance score for each target content item from a plurality of target content items, the relevance score for each target content item indicative of a relevance of the target content item to the user;
- and
- providing, for presentation on a user device of the user, at least a portion of the target content items based on the relevance scores.
One or more computer storage media storing computer-useable instructions that, when used by a computing device, cause the computing device to perform operations, the operations comprising:
- identifying a plurality of content items with which a user has interacted and a time stamp for each content item indicative of when the user interacted with the content item;
- training a machine learning model using the content items and the time stamp for each content item to generate a trained machine learning model;
- generating, using the trained machine learning model, a relevance score for each target content item from a plurality of target content items, the relevance score for each target content item indicative of a relevance of the target content item to the user;
- and
- providing, for presentation on a user device of the user, at least a portion of the target content items based on the relevance scores.
A computer system comprising:
- a processor;
- and
- a computer storage medium storing computer-useable instructions that, when used by the processor, causes the computer system to perform operations comprising:
- identifying a plurality of content items with which a user has interacted and a time stamp for each content item indicative of when the user interacted with the content item;
- training a machine learning model using the content items and the time stamp for each content item to generate a trained machine learning model;
- generating, using the trained machine learning model, a relevance score for each target content item from a plurality of target content items, the relevance score for each target content item indicative of a relevance of the target content item to the user;
- and
- providing, for presentation on a user device of the user, at least a portion of the target content items based on the relevance scores.
Dependencies are inferred from the claim text.