Item recommendations weighted by user-valued features
AssigneeCapital One Services, LLC
InventorsMicah PRICE, Qiaochu TANG, Jason HOOVER, Avid GHAMSARI, Geoffrey DAGLEY
Life of this patent
Estimating the term…
Abstract
Computer-implemented methods, computer systems, and computer readable media for determining, sorting, or determining and sorting a set of items. The method includes receiving, via a user device, parameter values from a user and receiving parameter weights. The method further includes determining a sort score for each vehicle of a set of vehicles based on the received parameter values and parameter weights, and sorting the set of vehicles based on the sort score of each vehicle of the set of vehicles.
Claims21
1-20. (canceled)
A system for determining purchase recommendations, comprising:
- at least one processor;
- and
- a memory operatively connected to the at least one processor and including instructions that are executable by the at least one processor to perform acts, including:
- receiving, via a user device, parameter values from a user;
- receiving, via the user device, parameter weights;
- generating one or more parameter similarity values for each item of a set of items based on the received parameter values;
- determining a sort score for each item of the set of items based on the received parameter weights and the generated parameter similarity values;
- and
- sorting the set of items based on the sort score of each item of the set of items.
A system for determining purchase recommendations, comprising:
- at least one processor;
- and
- a memory operatively connected to the at least one processor and including instructions that are executable by the at least one processor to perform acts, including:
- receiving, via a user device associated with a user, a plurality of parameter values and at least one parameter weight associated with a respective one of the plurality of parameter values;
- determining a respective parameter similarity value for each item in a set of items based on a comparison of the plurality of parameter values and corresponding features of each item;
- determining a sort score for each item of the set of items based on the at least one parameter weight and the determined parameter similarity values;
- and
- sorting the set of items based on the sort score of each item of the set of items.
A system for determining purchase recommendations, comprising:
- at least one processor;
- and
- a memory operatively connected to the at least one processor and including instructions that are executable by the at least one processor to perform acts, including:
- outputting at least one prompt to a user for input of one or more of parameter values or a parameter weight associated with one or more of the parameter values;
- receiving, via a user device, parameter values from a user;
- receiving, via the user device, one or more parameter weights associated with one or more of the parameter values;
- generating one or more parameter similarity values for each item of a set of items based on the received parameter values;
- determining a sort score for each item of the set of items based on the received one or more parameter weights and the generated parameter similarity values;
- sorting the set of items based on the sort score of each item of the set of items;
- and
- outputting the sorted set of items to the user device.
Dependencies are inferred from the claim text.