Abstract:

Interest Model for Location of the User Behavior Based on Small-World Network Abstract The paper introduces a small-world network model to analyze user behavior characteristics and find the behavior of the user attributes and location-based clustering.The method using the recommended calculation method described the similarity between nodes and look at the user location as a root.It looks at the location of the userˊs interest in resources as nodes and convert interests computation problem to search shortest path.An improved algorithm is proposed to calculate the shortest path from the root each node and analyze the most interested node resources of users by his positions.Experimental results show that this method established by the location of the user interest model can describe the location of the userˊs interest and willingness.The algorithm has a good performance in accuracy and computing time.

Key words: small-world network, location based service, user behavior analysis, shortest path algorith