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US 2024/0193669 A1Published application
Offering automobile recommendations from generic features learned from natural language inputs
AssigneeCapital One Services, LLC
InventorsMicah PRICE, Stephen WYLIE, Habeeb HOOSHMAND, Jason HOOVER, Geoffrey DAGLEY, Qiaochu TANG
Life of this patent
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Abstract
Various embodiments are generally directed to techniques to provide specific vehicle recommendations to generic user requests. A method for providing the specific vehicle recommendation includes: receiving a generic automobile request from a user, applying a machine learning model (MLM) trained by a corpus of reviews to the received request, and generating, by the MLM, a recommendation for at least one specific automobile feature based on the generic automobile request.
Claims20
A method, comprising:
- accessing, by a processor, a first data set and a second data set from a corpus of one or more automobile reviews, the first data set and the second data set comprising generic text related to a plurality of automobile makes and models and specific text related to at least one feature of at least one of the plurality of automobile makes and models;
- generating, by a machine learning model (MLM) executing on the processor, a respective probability distribution for one or more specific automobile makes and models in relation to generic automobile text by analyzing a relationship between the generic text of the corpus of one or more automobile reviews and the specific text of the corpus of one or more automobile reviews;
- receiving, by the processor, a third data set comprising a generic automobile text, the generic automobile text comprising a preference of an account;
- and
- generating, by the MLM, a recommendation comprising a specific automobile make and model corresponding to the generic automobile text of the third data set, the recommendation based on the probability distribution for the specific automobile make and model.
2 more elements
A non-transitory computer-readable storage medium, the computer-readable storage medium including instructions that when executed by a processor, cause the processor to:
- access a first data set and a second data set from a corpus of one or more automobile reviews, the first data set and the second data set comprising generic text related to a plurality of automobile makes and models and specific text related to at least one feature of at least one of the plurality of automobile makes and models;
- generate, by a machine learning model (MLM), a respective probability distribution for one or more specific automobile makes and models in relation to generic automobile text by analyzing a relationship between the generic text of the corpus of one or more automobile reviews and the specific text of the corpus of one or more automobile reviews;
- receive a third data set comprising a generic automobile text, the generic automobile text comprising a preference of an account;
- and
- generate, by the MLM, a recommendation comprising a specific automobile make and model corresponding to the generic automobile text of the third data set, the recommendation based on the probability distribution for the specific automobile make and model.
2 more elements
A computing apparatus comprising:
- a processor;
- and
- a memory storing instructions that, when executed by the processor, cause the processor to:
- access a first data set and a second data set from a corpus of one or more automobile reviews, the first data set and the second data set comprising generic text related to a plurality of automobile makes and models and specific text related to at least one feature of at least one of the plurality of automobile makes and models;
- generate, by a machine learning model (MLM), a respective probability distribution for one or more specific automobile makes and models in relation to generic automobile text by analyzing a relationship between the generic text of the corpus of one or more automobile reviews and the specific text of the corpus of one or more automobile reviews;
- receive a third data set comprising a generic automobile text, the generic automobile text comprising a preference of an account;
- and
- generate, by the MLM, a recommendation comprising a specific automobile make and model corresponding to the generic automobile text of the third data set, the recommendation based on the probability distribution for the specific automobile make and model.
5 more elements
Dependencies are inferred from the claim text.