Systems, methods, and devices for identifying and presenting identifications of significant attributes of unique items
First Claim
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1. A significant attributes system for identifying and presenting identifications of significant attributes of unique items, the significant attributes system comprising:
- an item analysis engine configured to determine which of a plurality of attributes of a selected unique item are driver attributes, the plurality of attributes comprising at least a condition attribute and a feature attribute, the item analysis engine comprising;
an item description receiver configured to electronically receive item data, the item data being related to the plurality of attributes of the selected unique item; and
one or more driver calculators configured to apply one or more driver models to the plurality of attributes to identify which of the plurality of attributes of the selected unique item are driver attributes;
wherein the item analysis engine is configured to electronically present the identification of which of the plurality of attributes of the selected unique item are driver attributes;
at least one driver models database configured to electronically store information relating to the one or more driver models and to electronically communicate with the item analysis engine;
a model building engine configured to generate the one or more driver models by applying one or more model specifications to data relating to user activity,wherein the one or more model specifications comprise instructions to generate a driver model using one or more of the following methods;
linear regression, non-linear regression, model trees, nearest neighbor analysis,wherein the data relating to user activity comprises logged interactions of users with a plurality of unique items;
a data collection engine configured to generate the data relating to user activity by electronically monitoring, over a computer network, user interactions with items displayed by user interfaces of a plurality of user devices,wherein the electronic monitoring comprises detecting a position of an item displayed by the user interface at a time of the user interaction, and the model building engine is further configured to use the detected positions to reduce any position bias present in the logged interactions of users; and
one or more computers configured to operate the item analysis engine, wherein the one or more computers comprises a computer processor and an electronic storage medium.
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Abstract
The disclosure herein provides systems, methods, and devices for identifying and presenting identifications of significant attributes of unique items. A significant attributes system for identifying and presenting identifications of significant attributes of unique items comprises an item analysis engine, at least one driver models database, and a model building engine, wherein the item analysis engine comprises an item description receiver and one or more driver calculators.
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20 Claims
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1. A significant attributes system for identifying and presenting identifications of significant attributes of unique items, the significant attributes system comprising:
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an item analysis engine configured to determine which of a plurality of attributes of a selected unique item are driver attributes, the plurality of attributes comprising at least a condition attribute and a feature attribute, the item analysis engine comprising; an item description receiver configured to electronically receive item data, the item data being related to the plurality of attributes of the selected unique item; and one or more driver calculators configured to apply one or more driver models to the plurality of attributes to identify which of the plurality of attributes of the selected unique item are driver attributes; wherein the item analysis engine is configured to electronically present the identification of which of the plurality of attributes of the selected unique item are driver attributes; at least one driver models database configured to electronically store information relating to the one or more driver models and to electronically communicate with the item analysis engine; a model building engine configured to generate the one or more driver models by applying one or more model specifications to data relating to user activity, wherein the one or more model specifications comprise instructions to generate a driver model using one or more of the following methods;
linear regression, non-linear regression, model trees, nearest neighbor analysis,wherein the data relating to user activity comprises logged interactions of users with a plurality of unique items; a data collection engine configured to generate the data relating to user activity by electronically monitoring, over a computer network, user interactions with items displayed by user interfaces of a plurality of user devices, wherein the electronic monitoring comprises detecting a position of an item displayed by the user interface at a time of the user interaction, and the model building engine is further configured to use the detected positions to reduce any position bias present in the logged interactions of users; and one or more computers configured to operate the item analysis engine, wherein the one or more computers comprises a computer processor and an electronic storage medium. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer-implemented method for identifying and presenting identifications of significant attributes of unique items, the computer-implemented method comprising:
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logging, using a computer system, interactions of users with a plurality of unique items, wherein the logging comprises electronically monitoring, over a computer network, actions of the users interacting with user interfaces generated by one or more item listing systems presenting for sale the plurality of unique items, wherein the electronic monitoring comprises detecting positions of items displayed by the user interfaces at a time of the user interactions; generating, using the computer system, one or more driver models by applying one or more model specifications to data relating to the logged interactions of the users with the plurality of unique items, wherein the one or more model specifications comprise instructions to generate a driver model using one or more of the following methods;
linear regression, non-linear regression, model trees, nearest neighbor analysis, andwherein generating the one or more driver models comprises using the detected positions to reduce any position bias present in the logged interactions of users; storing the one or more driver models in an electronic driver models database; receiving, using the computer system, electronic item data relating to a plurality of attributes of a selected unique item; applying, using the computer system, the one or more driver models stored in the electronic driver models database to the plurality of attributes of the selected unique item to identify which of the plurality of attributes of the selected unique item are driver attributes; and presenting electronically the identification of which of the plurality of attributes of the selected unique item are driver attributes; wherein the computer system comprises a computer processor and electronic memory. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A computer readable, non-transitory storage medium having a computer program stored thereon for causing a suitably programmed computer system to process by one or more processors computer-program code by performing a method for identifying and presenting identifications of significant attributes of unique items when the computer program is executed on the suitably programmed computer system, the method comprising:
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logging, using a computer system, interactions of users with a plurality of unique items, wherein the logging comprises electronically monitoring, over a computer network, actions of the users interacting with user interfaces generated by one or more item listing systems presenting for sale the plurality of unique items, wherein the electronic monitoring comprises detecting positions of items displayed by the user interfaces at a time of the user interactions; generating, using the computer system, one or more driver models by applying one or more model specifications to data relating to the logged interactions of the users with the plurality of unique items, wherein the one or more model specifications comprise instructions to generate a driver model using one or more of the following methods;
linear regression, non-linear regression, model trees, nearest neighbor analysis, andwherein generating the one or more driver models comprises using the detected positions to reduce any position bias present in the logged interactions of users; storing the one or more driver models in an electronic driver models database; receiving, using the computer system, electronic item data relating to a plurality of attributes of a selected unique item; applying, using the computer system, the one or more driver models stored in the electronic driver models database to the plurality of attributes of the selected unique item to identify which of the plurality of attributes of the selected unique item are driver attributes; and presenting electronically the identification of which of the plurality of attributes of the selected unique item are driver attributes; wherein the computer system comprises a computer processor and electronic memory. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification