Method and system for listing categorization
First Claim
1. A method comprising:
- accessing a category structure, the category structure including a plurality of categories for items;
accessing a set of training data from a plurality of listings from at least one of supply data or demand data, the supply data generated from seller activity of a plurality of users in a networked system, the demand data generated from buyer activity of the plurality of users in the networked system, each listing including a category from the category structure; and
providing the set of training data to a categorization application for training, the categorization application capable of building listing statistics by applying a classifier to the set of training data and recommending a category from the category structure for a new listing by utilizing the listing statistics.
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Abstract
Embodiments of a method and system for listing categorization are disclosed. A category structure may be accessed. The category structure may include a plurality of categories for items. A set of training data may be accessed from a plurality of listings from at least one of supply data and/or demand data. The supply data may be generated from seller activity of a plurality of users in a networked system. The demand data may be generated from buyer activity of the plurality of users in the networked system. Each listing may include a category from the category structure. The set of training data may be provided to a categorization application for training. The categorization application may be capable of building listing statistics by applying a classifier to the set of training data and recommending a category from the category structure for a new listing by utilizing the listing statistics.
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Citations
21 Claims
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1. A method comprising:
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accessing a category structure, the category structure including a plurality of categories for items; accessing a set of training data from a plurality of listings from at least one of supply data or demand data, the supply data generated from seller activity of a plurality of users in a networked system, the demand data generated from buyer activity of the plurality of users in the networked system, each listing including a category from the category structure; and providing the set of training data to a categorization application for training, the categorization application capable of building listing statistics by applying a classifier to the set of training data and recommending a category from the category structure for a new listing by utilizing the listing statistics. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A machine-readable non-transitory storage medium comprising instructions, which when executed by a machine, cause the machine to:
- access a category structure, the category structure including a plurality of categories for items;
access a set of training data from a plurality of listings from at least one of supply data or demand data, the supply data generated from seller activity of a plurality of users in a networked system, the demand data generated from buyer activity of the plurality of users in the networked system, each listing including a category from the category structure; and
provide the set of training data to a categorization application for training, the categorization application capable of building listing statistics by applying a classifier to the set of training data and recommending a category from the category structure for a new listing by utilizing the listing statistics. - View Dependent Claims (9, 10, 11, 12, 13, 14)
- access a category structure, the category structure including a plurality of categories for items;
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15. A system comprising:
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a memory; at least one processor coupled to the memory; a first module to access, using the at least one processor, a category structure, the category structure including a plurality of categories for items; a second module to access, using the at least one processor, a set of training data from a plurality of listings from at least one of supply data or demand data, the supply data generated from seller activity of a plurality of users in a networked system, the demand data generated from buyer activity of the plurality of users in the networked system, each listing including a category from the category structure; and a third module to provide the set of training data to a categorization application for training, the categorization application capable of building listing statistics by applying a classifier to the set of training data and recommending a category from the category structure for a new listing by utilizing the listing statistics. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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Specification