Ranking online listings
First Claim
1. A method, comprising:
- receiving, by a computer, a search query;
identifying, by the computer, one or more listings responsive to the search query;
determining, by the computer, for each of the one or more listings, a relevancy score based on one or more parameters in the search query, an expected click through rate, and a content density boost for a listing category that is a ratio of a click-through rate when a particular type of field is included in a listing in the listing category to a click-through rate when the particular type of field is excluded from a listing in the listing category; and
calculating, by the computer, for each of the one or more listings, a performance score based at least in part on the relevancy score, the expected click through rate, and the content density boost.
13 Assignments
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Accused Products
Abstract
A search query is received. One or more listings is identified responsive to the search query. For each of the one or more of listings, the following are determined: a relevancy score based on one or more parameters in the search query, an expected click through rate, and at least one of a content density boost that is based on one or more fields that are included in or excluded from the listing and a geography type boost that is based on a comparison of one or more geography parameters of the query to one or more geography parameters of the listing. For each of the one or more listings, a performance score is calculated based on the relevancy score, the expected click through rate, and at least one of the content density boost and the geography type boost.
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Citations
21 Claims
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1. A method, comprising:
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receiving, by a computer, a search query; identifying, by the computer, one or more listings responsive to the search query; determining, by the computer, for each of the one or more listings, a relevancy score based on one or more parameters in the search query, an expected click through rate, and a content density boost for a listing category that is a ratio of a click-through rate when a particular type of field is included in a listing in the listing category to a click-through rate when the particular type of field is excluded from a listing in the listing category; and calculating, by the computer, for each of the one or more listings, a performance score based at least in part on the relevancy score, the expected click through rate, and the content density boost. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A non-transitory computer-readable medium embodying a set of computer-executable instructions, the instructions comprising instructions for:
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receiving a search query; identifying one or more listings responsive to the search query; determining, for each of the one or more listings, a relevancy score based on one or more parameters in the search query, an expected click through rate, and a content density boost for a listing category that is a ratio of a click-through rate when a particular type of field is included in a listing in the listing category to a click-through rate when the particular type of field is excluded from a listing in the listing category; and calculating, for each of the one or more listings, a performance score based at least in part on the relevancy score, the expected click through rate, and the content density boost. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A system, comprising:
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a computing device that is configured to; receive a search query; identify one or more listings responsive to the search query; determine, for each of the one or more listings, a relevancy score based on one or more parameters in the search query, an expected click through rate, and a content density boost for a listing category that is a ratio of a click-through rate when a particular type of field is included in a listing in the listing category to a click-through rate when the particular type of field is excluded from a listing in the listing category; and calculate, for each of the one or more listings, a performance score based at least in part on the relevancy score, the expected click through rate, and the content density boost. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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Specification