Methods and systems for assessing the quality of an item listing
First Claim
1. A computer-implemented method comprising:
- processing a query to identify item listings that satisfy the query, each item listing associated with at least one item being offered for sale;
assigning a score to each item listing that satisfies the query, the score i) representing a measure of the likelihood that an item listing, if presented in a search results page, will result in a transaction being concluded, and ii) derived as a weighted sum of first and second parts, the first part representing a predicted score based on item attributes of the item listing known at listing time, and the second part based on an observed demand metric derived from historical performance data of the item listing, the predicted score being derived based on an analysis of an item attribute specifying an offering price for an item offered via an item listing satisfying the query, the analysis including a comparison of the offering price for the item offered via the item listing satisfying the query with historical data indicating prices at which items determined to be similar to the item offered via the item listing satisfying the query have sold; and
presenting the item listings that satisfy the query in the search results page displayed in a user interface of a client device, each item listing positioned in the search results page based on the score assigned to the item listing.
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Accused Products
Abstract
Methods and systems for assessing the quality of an item listing are described. In an example embodiment, a listing quality score for an item listing is derived as a weighted sum of first and second parts. The first part represents a predicted score based on a comparison of item attributes for the item listing that are known at listing time, with item attributes of similar item listings that have historical data available for assessing their actual performance. The second part is based on one or more observed demand metrics representing actual historical performance of the item listing. The weighting factor is derived, such that over time, the emphasis shifts from the predicted to the observed score.
96 Citations
21 Claims
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1. A computer-implemented method comprising:
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processing a query to identify item listings that satisfy the query, each item listing associated with at least one item being offered for sale; assigning a score to each item listing that satisfies the query, the score i) representing a measure of the likelihood that an item listing, if presented in a search results page, will result in a transaction being concluded, and ii) derived as a weighted sum of first and second parts, the first part representing a predicted score based on item attributes of the item listing known at listing time, and the second part based on an observed demand metric derived from historical performance data of the item listing, the predicted score being derived based on an analysis of an item attribute specifying an offering price for an item offered via an item listing satisfying the query, the analysis including a comparison of the offering price for the item offered via the item listing satisfying the query with historical data indicating prices at which items determined to be similar to the item offered via the item listing satisfying the query have sold; and presenting the item listings that satisfy the query in the search results page displayed in a user interface of a client device, each item listing positioned in the search results page based on the score assigned to the item listing. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A server comprising:
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a search engine module to process a query to identify item listings that satisfy the query, each item listing associated with at least one item being offered for sale; a ranking score assignment module to assign a score to each item listing that satisfies the query, the score i) representing a measure of the likelihood that an item listing, if presented in a search results page, will result in a transaction being concluded, and ii) derived as a weighted sum of first and second parts, the first part representing a predicted score based on item attributes of the item listing known at listing time, and the second part based on observed metrics representing actual historical performance of the item listing, the predicted score being derived based on an analysis of an item attribute specifying an offering price for an item offered via an item listing satisfying the query, the analysis including a comparison of the offering price for the item offered via the item listing satisfying the query with historical data indicating prices at which items determined to be similar to the item offered via the item listing satisfying the query have sold; and a presentation module to present the item listings that satisfy the query in the search results page displayed in a user interface of a client device, each item listing positioned in the search results page based on the score assigned to the item listing, wherein said modules are implemented using one or more hardware-based processors. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A method comprising:
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processing a query to identify item listings that satisfy the query; assigning the item listing that satisfies the query to one of two groups based on a determination of whether an item listing has associated with it sufficient historical data to derive a measure of performance for the item listing such that a first group includes those item listings with sufficient historical data to derive a measure of performance for the item listing, and a second group includes those item listings without sufficient historical data to derive the measure of performance for the item listing, the measure of performance being determined at least in part based on a predicted score derived based on an analysis of an item attribute specifying an offering price for an item offered via an item listing satisfying the query, the analysis including a comparison of the offering price for the item offered via the item listing satisfying the query with historical data indicating prices at which items determined to be similar to the item offered via the item listing satisfying the query have sold; and presenting item listings from the first group and the second group in a search results page displayed in a user interface of a client device.
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Specification