In: Physica A: Statistical Mechanics and its Applications, 2012, vol. 391, no. 4, p. 1822–1830
Understanding the structure and evolution of web-based user-item bipartite networks is an important task since they play a fundamental role in online information filtering. In this paper, we focus on investigating the patterns of online users’ behavior and the effect on recommendation process. Empirical analysis on the e-commercial systems show that users’ taste preferences are heterogeneous...
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