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 data performance of the item listing; and
presenting the item listings that satisfy the query in the search results page, each item listing positioned in the search results page based on the score assigned to the item listing.
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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.
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Citations
25 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 data performance of the item listing; and presenting the item listings that satisfy the query in the search results page, 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, 11, 12)
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13. 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; and a presenting the item listings that satisfy the query in the search results page, each item listing positioned in the search results page based on the score assigned to the item listing. - View Dependent Claims (14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. 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 a measure of performance for the item listing; and presenting item listings from the first group and the second group in a search results page.
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Specification