کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
978958 933312 2010 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Personal recommendation via unequal resource allocation on bipartite networks
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
پیش نمایش صفحه اول مقاله
Personal recommendation via unequal resource allocation on bipartite networks
چکیده انگلیسی

In this paper, we present a recommendation algorithm based on the resource-allocation progresses on bipartite networks. In this model, each node is assigned an attraction that is proportional to the power of its degree, where the exponent ββ is an adjustable parameter that controls the configuration of attractions. In the resource-allocation process, each transmitter distributes its each neighbor a fragment of resource that is proportional to the attraction of the neighbor. Based on a benchmark database, we find that decreasing the attractions that the nodes with higher degrees are assigned can further improve the algorithmic accuracy. More significantly, numerical results show that the optimal configuration of attractions subject to accuracy can also generate more diverse and less popular recommendations.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 389, Issue 16, 15 August 2010, Pages 3282–3289
نویسندگان
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