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Inventi Impact - Algorithm

Articles

  • Inventi:eal/84/14
    A COLLABORATIVE RECOMMEND ALGORITHM BASED ON BIPARTITE COMMUNITY
    Yuchen Fu, Quan Liu, Zhiming Cui

    The recommendation algorithm based on bipartite network is superior to traditional methods on accuracy and diversity, which proves that considering the network topology of recommendation systems could help us to improve recommendation results. However, existing algorithms mainly focus on the overall topology structure and those local characteristics could also play an important role in collaborative recommend processing. Therefore, on account of data characteristics and application requirements of collaborative recommend systems, we proposed a link community partitioning algorithm based on the label propagation and a collaborative recommendation algorithm based on the bipartite community.Then we designed numerical experiments to verify the algorithm validity under benchmark and real database.

    How to Cite this Article
    CC Compliant Citation: Yuchen Fu, Quan Liu, and Zhiming Cui, “A Collaborative Recommend Algorithm Based on Bipartite Community,” The Scientific World Journal, vol. 2014, Article ID 295931, 14 pages, 2014. doi:10.1155/2014/295931. Copyright © 2014 Yuchen Fu et al. This is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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