User communication circle relation identification method based on communication frequency and communication index
A relationship identification and communication circle technology, applied in customer relationship, data processing application, business and other directions, can solve problems such as user complaints, difficulty in attracting users, and low return on marketing costs, and achieve poor targeting and marketing success rate. improved effect
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Embodiment 1
[0051] This embodiment proposes a method for identifying the relationship between the user's communication circle based on the frequency of interaction and the interaction index. figure 1 , the method includes the following steps: user association circle relationship based on association frequency and association index
[0052] A: Calculate the interaction frequency and interaction index between two users;
[0053] B: According to the interaction frequency, interaction index and contact period preference, establish the corresponding interaction circle model of the user, the interaction circle model includes the work circle model, the life circle model and the comprehensive circle model;
[0054] C: Establish a user social network model based on the user's corresponding communication circle information;
[0055] D: Build a family relationship model based on the user's life circle model.
[0056] Among them, the frequency of communication of the user is calculated, and the fre...
Embodiment 2
[0083] Based on Embodiment 1, this embodiment proposes a method for identifying user association circles based on association frequency and association index. The basic idea of this embodiment is to sort out voice bills and short and multimedia message bill information, and calculate user pairwise Inter-connection frequency, interaction index;
[0084] Establish work circle, life circle and comprehensive circle models according to communication frequency, communication index and contact time preference;
[0085] Calculate the common contacts between users based on the social circle, calculate the similarity index between users, and establish a social network;
[0086] Based on the information of the same customer, same family package, and same account, establish the backbone members of the family, and calculate the similarity between members and users, and find high-similarity home / different network users to be included in the same family relationship customers.
[0087] In...
Embodiment 3
[0108] Based on the method of embodiment two, the data obtained by using the method of the present invention to operator China Telecom Zhongtianyi Family Network is as follows:
[0109] circle marketing
[0110] The marketing success rate of Qinqin.com has increased significantly: from the end of July 2013, the total number of SMS orders sent by Qinqin.com was 6,347,971, and the marketing success rate was only 0.4%;
[0111] On July 29, 2013, build a life circle through social networks, select leaders, and dispatch 9255 orders. The number of users who participated in the family network under the same customer was 522, and the marketing success rate was 5.64%. role;
[0112] On August 12, 2013, by narrowing down the group of calls, find out the users who are concentrated in two-two calls, dispatch 203,350 orders, 2624 users participated, and the success rate is 1.3%;
[0113] In mid-August 2013, the data of "Living Circle", "Working Circle" and "Comprehensive Circle" were res...
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