METHOD FOR CREATING VIRTUAL HUMAN ON MAPREDUCE PLATFORM

摘要

A method for creating a virtual human on a MapReduce platform. The method for creating a virtual human comprises: step 1, extracting from behavior logs accounts as well as login time and login terminal information corresponding to the accounts (1); step 2, calculating the similarity between the accounts according to synergistic conditions of the accounts, constructing a connected graph in which the accounts are represented by nodes, and representing the similarity between the accounts by using the length of an edge between the nodes, wherein the similarity between the accounts represented by the nodes increases as the edge between the nodes decreases (2); and step 3, clustering the nodes in the connected graph on the basis of the MapReduce platform, and creating a virtual human according to the clustering result (3). In the method, a virtual human is created according to behavior logs, the method is low in complexity and high in accuracy, and is suitable for processing big data. By means of a popular MapReduce distributed computation concept, clustering based on local density is achieved on a cluster, the restriction during the processing due to limited resources of a single machine is weakened, mass data can be processed, and clustering operations can be completed more rapidly.