Intelligent hierarchical management and control method and system for traffic
A management and control system and a layered management technology, applied in the computer field, can solve the problems of media traffic waste, inability to guarantee the filling rate of request traffic, poor liquidity of the media side, etc., and achieve the effect of guaranteeing the filling rate
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Embodiment 1
[0059] see figure 1 , a flow intelligent hierarchical control method, comprising the following steps:
[0060] S1: Obtain the traffic characteristic information carried in the requested traffic in real time;
[0061] Wherein, the traffic characteristic information includes media party information, client device information and / or user dimension basic information; the user dimension basic information includes mobile phone model, location, network IP and / or network type.
[0062] Specifically, when a user accesses a specified link through a wireless network, request traffic is generated. This method can be embedded in a third-party application or website to obtain request traffic; it can also obtain an authorization interface of the third-party application or website, and obtain request traffic through the authorization interface.
[0063] S2: Screen the request traffic according to the traffic characteristic information, and obtain the auxiliary information of the request tra...
Embodiment 2
[0074] Embodiment 2 On the basis of Embodiment 1, a control method is added.
[0075] The data warehouse includes two types of dimension data: historical behavior data and scene value dimension data; the scene value dimension data includes two types of environment features: geographic location feature and time feature.
[0076] Specifically, in the data warehouse, it is mainly divided into two categories of dimension data: the first category of dimension data is the historical behavior data of users, and the second category of dimension data is scene value dimension data. Scene value dimension data is mainly divided into two types of environmental feature values, such as geographical location and time. In the matching data link, the matching level of the scene value dimension data is prior to the historical behavior dimension data level, because the scene value dimension data is associated with the current time and geographical location, and is closer to the current environmen...
Embodiment 3
[0088] Embodiment 3 On the basis of Embodiment 2, a layered method is added.
[0089] see image 3 , the use of a preset data warehouse to perform attribute identification on the subsidiary information and flow characteristic information of the requested flow, and obtaining the identification result specifically includes:
[0090] S21: Search the data warehouse according to the traffic characteristic information of the requested traffic;
[0091] Specifically, step S21 matches historical behavior data and scene value dimension data in the data warehouse through traffic characteristic information.
[0092] S22: When the scene value dimension data corresponding to the traffic characteristic information exists in the data warehouse, perform attribute recognition on the scene value dimension data to obtain the recognition result;
[0093] S23: When the scene value dimension data corresponding to the traffic characteristic information does not exist in the data warehouse, perform...
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