System and method for making content-based recommendations using a user profile likelihood model
AssigneePaypal, Inc.
InventorZexi MAO
Life of this patent
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Abstract
Aspects of the present disclosure involve systems, methods, devices, and the like for making content-based recommendations using a user profile likelihood model. In one embodiment, a system is introduced that includes a plurality of models and storage units for storing, managing, and transforming product and user profile data. The system can also include a recommendation engine designed to determine a probability that a product is relevant to a user based on a user profile. In another embodiment, the probability that a product is relevant to a user may be determined based in part on a frequency of interactions with a product and a time of interaction with the products.
Claims21
(canceled)
A system comprising:
- one or more processors;
- and
- one or more machine-readable storage media having instructions stored thereon that, in response to being executed by the one or more processors, cause the system to perform operations comprising:
- receiving, from a user device, a request for a content-based recommendation;
- retrieving, product attributes based on data received from the request;
- determining, a probability that a product is relevant to a user profile for each product in a plurality of products;
- and
- presenting, a set of products from the plurality of products, based in part on a ranking of the probability associated with each product in the plurality of products.
A method comprising:
- receiving, from a user device, a request for a content-based recommendation;
- retrieving, product attributes based on data received from the request;
- determining, a probability that a product is relevant to a user profile for each product in a plurality of products;
- and
- presenting, a set of products from the plurality of products, based in part on a ranking of the probability associated with each product in the plurality of products.
A non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising:
- receiving, from a user device, a request for a product recommendation;
- retrieving, product attributes based on data received from the request;
- determining, a token probability that a product is relevant to a user profile for each product in a plurality of products;
- and
- presenting, a set of products from the plurality of products, based in part on a ranking of the probability associated with each product in the plurality of products.
Dependencies are inferred from the claim text.