Identifying local experts for local search
First Claim
1. A method of ranking local search results based on reviews by experts, the method comprising:
- receiving a query from a user via a user device;
identifying a geographic area and a category of business for the query;
identifying, with one or more processors using reviews related to the geographic area and the category of business from a plurality of users, a plurality of experts within the plurality of users based at least on respective numbers of reviews each user submitted, including iteratively modifying the category of business to identify at least a threshold number of experts;
ranking, with the one or more processors, local search results responsive to the query based on reviews of the local search results by the plurality of experts; and
causing the ranked local search results to be displayed via the user device.
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Accused Products
Abstract
Provided is a process, including: obtaining reviews of a reviewed category of businesses in a reviewed geographic area by reviewers; determining that reviews from more than a threshold number of reviewers have been obtained and, in response, identifying at least some of the reviewers as being experts in the reviewed category of businesses in the reviewed geographic area; receiving a query from a user; identifying a geographic area and a category of businesses for the query; ranking, with a processor, local search results responsive to the query based on the reviews of the experts in the reviewed geographic area and reviewed business category; and sending ranked search results to the user.
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Citations
19 Claims
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1. A method of ranking local search results based on reviews by experts, the method comprising:
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receiving a query from a user via a user device; identifying a geographic area and a category of business for the query; identifying, with one or more processors using reviews related to the geographic area and the category of business from a plurality of users, a plurality of experts within the plurality of users based at least on respective numbers of reviews each user submitted, including iteratively modifying the category of business to identify at least a threshold number of experts; ranking, with the one or more processors, local search results responsive to the query based on reviews of the local search results by the plurality of experts; and causing the ranked local search results to be displayed via the user device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A tangible, non-transitory, machine-readable medium storing instructions that when executed by a data processing apparatus cause the data processing apparatus to perform operations comprising:
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receiving a query from a user via a user device; identifying a geographic area and a category of business for the query; identifying, with one or more processors using reviews related to the geographic area and the category of business from a plurality of users, a plurality of experts within the plurality of users based at least on respective numbers of reviews each user submitted, including iteratively modifying the category of business to identify at least a threshold number of experts; ranking, with the one or more processors, local search results responsive to the query based on reviews of the local search results by the plurality of experts; and causing the ranked local search results to be displayed via the user device.
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16. A system, comprising:
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one or more processors; and memory storing instructions that when executed by the one or more processors cause the one or more processors to effectuate operations comprising; receiving a query from a user via a user device; identifying a geographic area and a category of businesses for the query; identifying, using reviews related to the geographic area and the category of business from a plurality of users, a plurality of experts within the plurality of users based at least on respective numbers of reviews each user submitted, including iteratively modifying the category of business to identify at least a threshold number of experts; ranking local search results responsive to the query based on the expert'"'"'s respective reviews of the local search results by the plurality of experts; and causing the ranked local search results to be displayed via the user device. - View Dependent Claims (17, 18, 19)
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Specification