Using estimated ad qualities for ad filtering, ranking and promotion
First Claim
Patent Images
1. A method, implemented by one or more processors associated with one or more server devices, the method comprising:
- determining, using one or more processors associated with the one or more server devices, a first session feature associated with a selection of a first advertisement by a first user;
determining, using one or more processors associated with the one or more server devices, a second session feature associated with a selection of a second advertisement by a second user;
determining, using one or more processors associated with the one or more server devices, that the second session feature corresponds to the first session feature;
obtaining, using one or more processors associated with the one or more server devices, a first parameter (QP1) associated with a quality of the second advertisement based on the first session feature,the first quality parameter (QP1) comprising a probability that the second advertisement is of a certain measure of quality;
multiplying, using one or more processors associated with the one or more server devices, the first quality parameter (QP1) with a click-through-rate (CTR), associated with the second advertisement, and a cost-per-click (CPC), associated with the second advertisement, to obtain a result;
ranking using one or more processors associated with the one or more server devices, the second advertisement, among a plurality of advertisements, based on the result; and
providing, using one or more processors associated with the one or more server devices, the second advertisement to a third user based on ranking the second advertisement.
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Abstract
A system obtains a first parameter (QP1) associated with a quality of an advertisement among multiple advertisements, where the first quality parameter (QP1) does not include a click through rate (CTR). The system functionally combines the first quality parameter (QP1) with at least one other parameter and uses the functional combination to filter, rank or promote the advertisement among the multiple advertisements.
68 Citations
21 Claims
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1. A method, implemented by one or more processors associated with one or more server devices, the method comprising:
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determining, using one or more processors associated with the one or more server devices, a first session feature associated with a selection of a first advertisement by a first user; determining, using one or more processors associated with the one or more server devices, a second session feature associated with a selection of a second advertisement by a second user; determining, using one or more processors associated with the one or more server devices, that the second session feature corresponds to the first session feature; obtaining, using one or more processors associated with the one or more server devices, a first parameter (QP1) associated with a quality of the second advertisement based on the first session feature, the first quality parameter (QP1) comprising a probability that the second advertisement is of a certain measure of quality; multiplying, using one or more processors associated with the one or more server devices, the first quality parameter (QP1) with a click-through-rate (CTR), associated with the second advertisement, and a cost-per-click (CPC), associated with the second advertisement, to obtain a result; ranking using one or more processors associated with the one or more server devices, the second advertisement, among a plurality of advertisements, based on the result; and providing, using one or more processors associated with the one or more server devices, the second advertisement to a third user based on ranking the second advertisement. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer-readable memory device that stores computer-executable instructions, the instructions comprising:
one or more instructions that, when executed by one or more processors, cause the one or more processors to; determine a first session feature associated with a selection of a first advertisement by a first user; determine a second session feature associated with a selection of a second advertisement by a second user; determine that the second session feature corresponds to the first session feature; obtain a first parameter (QP1) associated with a quality of the second advertisement based on the first session feature, the first quality parameter (QP1) corresponding to a probability that the second advertisement is of a certain measure of quality; multiply the first quality parameter (QP1) with a click-through-rate (CTR), associated with the second advertisement, and a cost-per-click (CPC), associated with the second advertisement, to obtain a result; rank the second advertisement, among a plurality of advertisements, based on the result; and provide the second advertisement to a third user based on ranking the second advertisement. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A system comprising:
at least one processor to; determine a first session feature associated with a selection of a first advertisement by a first user; determine a second session feature associated with a selection of a second advertisement by a second user; determine that the second session feature corresponds to the first session feature; use the first session feature to obtain a first parameter (QP1) associated with a quality of the second advertisement, the first quality parameter (QP1) corresponding to a probability that the second advertisement is of a certain measure of quality; multiply the first quality parameter (QP1) with a click-through-rate (CTR), associated with the second advertisement, and a cost-per-click (CPC), associated with the second advertisement, to obtain a result; rank the second advertisement, among a plurality of advertisements, based on the result; and provide the second advertisement to a third user based on ranking the second advertisement. - View Dependent Claims (20, 21)
Specification