Ranking Vendors by Combining Quantitative and Qualitative Characteristics of Third-Party Advertising
Abstract
A computer-implemented method for ranking vendors by combining quantitative and qualitative characteristics of a third-party ad. The claimed method commences by storing a third-party internet ad, the third-party internet ad for hosting within a server in a third-party network, then measuring a latency score of the third-party network. Then monitoring the user's behavior to measure or calculate a click-through rate (CTR) score of the third-party internet ad, and additionally processing a quality score of the third-party internet ad for use in combining the latency score, the CTR score, and the quality score to form a reputation score. The reputation score is calculated using a coefficient of correlation for the quality score, and a coefficient of correlation for the latency score and a coefficient of correlation of the CTR score. The highest possible weight is given to the quality score while retaining maximum sensitivity to changes in latency and/or CTR scores.
Claims
exact text as granted — not AI-modified1 . A computer-implemented method for ranking vendors by combining quantitative and qualitative characteristics of a third-party ad, the method comprising:
storing, in memory, a third-party internet ad, the third-party internet ad for hosting within a server in a third-party network; measuring, in a computer, a latency score of the third-party network using the third-party internet ad; calculating, in a computer, a CTR score of the third-party internet ad using third-party network; receiving, in memory, a quality score of the third-party internet ad; and combining, in a computer, the latency score, the CTR score, and the quality score to form a reputation score.
2 . The method of claim 1 , further comprising reporting the reputation score.
3 . The method of claim 1 , further comprising mapping the third-party internet ad to a vendor.
4 . The method of claim 1 , wherein the third-party internet ad comprises instrumentation code.
5 . The method of claim 1 , wherein the reputation score is calculated using a coefficient of correlation for the quality score, and a coefficient of correlation for at least one of, the latency score, the CTR score.
6 . The method of claim 1 , wherein at least one of, the latency score, the CTR score is determined at least in part using a sigmoid scoring function.
7 . The method of claim 1 , wherein at least one of, the latency score, the CTR score is determined at least in part using a linearized scoring function.
8 . A computer readable medium comprising a set of instructions which, when executed by a computer, cause the computer to perform ranking vendors by combining quantitative and qualitative characteristics of a third-party ad, said instructions for:
storing, in memory, a third-party internet ad, the third-party internet ad for hosting within a server in a third-party network; measuring, in a computer, a latency score of the third-party network using the third-party internet ad; calculating, in a computer, a CTR score of the third-party internet ad using third-party network; receiving, in memory, a quality score of the third-party internet ad; and combining, in a computer, the latency score, the CTR score, and the quality score to form a reputation score.
9 . The computer readable medium of claim 8 , further comprising reporting the reputation score.
10 . The computer readable medium of claim 8 , further comprising mapping the third-party internet ad to a vendor.
11 . The computer readable medium of claim 8 , wherein the third-party internet ad comprises instrumentation code.
12 . The computer readable medium of claim 8 , wherein the reputation score is calculated using a coefficient of correlation for the quality score, and a coefficient of correlation for at least one of, the latency score, the CTR score.
13 . The computer readable medium of claim 8 , wherein at least one of, the latency score, the CTR score is determined at least in part using a sigmoid scoring function.
14 . The computer readable medium of claim 8 , wherein at least one of, the latency score, the CTR score is determined at least in part using a linearized scoring function.
15 . An advertising server network for ranking vendors by combining quantitative and qualitative characteristics of third-party advertising, comprising:
a module, comprising at least one processor and memory, for storing a third-party internet ad, the third-party internet ad for hosting within a server in a third-party network; a module, comprising at least one processor and memory, for measuring a latency score of the third-party network using the third-party internet ad; a module, comprising at least one processor and memory, for calculating a CTR score of the third-party internet ad using third-party network; a module, comprising at least one processor and memory, for receiving a quality score of the third-party internet ad; and a module, comprising at least one processor and memory, for combining the latency score, the CTR score, and the quality score to form a reputation score.
16 . The advertising server network of claim 15 , further comprising a module, comprising at least one processor and memory, for reporting the reputation score.
17 . The advertising server network of claim 15 , further comprising a module, comprising at least one processor and memory, for mapping the third-party internet ad to a vendor.
18 . The advertising server network of claim 15 , wherein the third-party internet ad comprises instrumentation code.
19 . The advertising server network of claim 15 , wherein the reputation score is calculated using a coefficient of correlation for the quality score, and a coefficient of correlation for at least one of, the latency score, the CTR score.
20 . The advertising server network of claim 15 , wherein at least one of, the latency score, the CTR score is determined at least in part using a sigmoid scoring function.Cited by (0)
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