Internet advertisement real-time bidding multi-advertiser multi-factor flow distribution method
A technology for Internet advertising and traffic distribution, which is applied in the field of Internet advertising real-time bidding, multi-advertiser and multi-factor traffic distribution, which can solve the problems of affecting DSP investment revenue, unspent budget, and few advertising opportunities.
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Embodiment 1
[0063] figure 1 It is a flow chart of a method for Internet advertisement real-time bidding multi-advertiser multi-factor flow distribution method.
[0064] like figure 1 As shown, the Internet advertising real-time bidding multi-advertiser multi-factor traffic distribution method includes the following steps:
[0065] Step 1, the ad bidding unit adgroup is divided into four functional modules: offline multi-factor mixed scoring, offline maximum cost estimation, score cumulative distribution estimation and online traffic distribution;
[0066] Step 2: In the offline multi-factor mixed scoring function module, perform offline multi-factor mixed scoring on the advertisement;
[0067] Step 3, in the offline maximum cost estimation function module, estimate the offline maximum cost of the advertisement;
[0068] The maximum cost refers to the cost constituted when the advertiser filters and bids for the traffic according to the set targeting conditions within a delivery cycle, ...
Embodiment 2
[0073] like figure 1 As shown, the Internet advertising real-time bidding multi-advertiser multi-factor traffic distribution method includes the following steps:
[0074] Step 1, the ad bidding unit adgroup is divided into four functional modules: offline multi-factor mixed scoring, offline maximum cost estimation, score cumulative distribution estimation and online traffic distribution;
[0075] Step 2: In the offline multi-factor mixed scoring function module, the offline multi-factor mixed scoring is performed on the advertisement. The specific steps are:
[0076] First, calculate the historical average CTR, that is, the overall click-through rate within a certain time window, which is used to measure the quality of the ad bidding unit adgroup;
[0077] Further, calculate the historical average , that is, the overall bidding success rate within a certain time window, which is used to measure the external competitiveness of the advertising bidding unit adgroup in the adve...
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