Call data capturing and matching method and system
A technology of calling data and matching methods, which is applied in the directions of network data retrieval, data processing applications, network data indexing, etc., and can solve the problems of inability to match project information, data capture and matching schemes that cannot distinguish between different capture rules, outbound calls, etc. Data does not conform to the rules and other issues
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Embodiment 1
[0042] see Figure 1 to Figure 2 ,
[0043] figure 1 It is a schematic diagram of an overall model of a call data capture and matching method of the present invention;
[0044] figure 2 It is an execution flowchart of a call data capturing and matching method of the present invention.
[0045] The invention discloses a call data capture and matching method, which includes a capture module 11, a format conversion module 12, a matching module 14, a data processing module 13 and a call database. The call data capture and matching method includes the following steps:
[0046] S1: The capture module 11 captures non-resigned, seated, and designated city customer service information, captures items that need to be called out according to the outbound call rules, and captures existing outbound call data according to the project ID at the same time. Grabbing module 11 sends the captured items and outbound data to the format conversion module 12;
[0047] Wherein, the capture modu...
Embodiment 2
[0064] The matching module 14 is provided with an interactive information matching formula,
[0065] The implementation steps of the step "the matching module 14 matches the project data and the outbound call data" include:
[0066] The matching module 14 uses the interactive information matching formula, and matches the call priority according to the project storage time, call time, number of calls, and channel source information,
[0067] The item storage time, call time, number of calls, and channel information make up variable Y={Y 1 ,Y 2 ,Y 3 ,Y 4 ,...,Y N}, the interaction information of each component
[0068] Among them, H(Y i ) is Y i The joint entropy of H(Y i )=-∫p(Y i )ln(p(Y i ))dY i ,
[0069] Among them, p(Y i ) is the component Y i Marginal probability density, p(Y i )=∫...∫p(Y 1 ,Y 2 ,Y 3 ,Y 4 )dY 1 wxya 2 wxya 3 wxya 4 .
Embodiment 3
[0071] The matching module 14 is provided with an interactive information matching formula,
[0072] The implementation steps of the step "the matching module 14 matches the project data and the outbound call data" include:
[0073] The matching module 14 matches the seat and the same city spare seat according to the project leader through the interactive information matching formula;
[0074] The person in charge of the project review composition variable Y={Y 1 ,Y 2 ,Y 3 ,Y 4 ..., Y N}, the interaction information of each component
[0075] Among them, W is the matrix estimated by mutual information minimization;
[0076] p(Y i )=∫...∫p(Y 1 ,Y 2 ,Y 3 ,Y 4 )dY 1 wxya 2 wxya 3 wxya 4 .
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