Lu Zhubing

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Personalized recommendation technology has become a very effective approach to cope with the problem of information overload in E-commerce. Currently, there are three recommendation strategies: content-based recommender strategy, collaborative filtering recommender strategy, and hybrid strategy. Since characterized as simple, easy to implement, and with(More)
For ensuring robustness and minimizing the distortion of a 3D mesh model, an effective 3D blind watermarking algorithm is proposed. The roughness of a 3D mesh model is iteratively computed by some constraints at first. The constraints consist of a mesh curvature measurement and the angle between adjacent surfaces designed to embed the watermark with the(More)
  • Lu Zhubing
  • 2010 5th International Conference on Computer…
  • 2010
Collaborative filtering(CF) strategy is widely used in recommender systems, but it also exists many weaknessses, for example:, chanages of preference and no user control of the system. In this paper, we propose a novel personalized strategy, which is used to deal with the weaknesses. On one part, a mechanism is introduced for user to manage his own trust(More)
Community detection in complex network becomes increasing popular in recent years. Most existing community detection algorithms are limited to deal with non-overlapping communities, which dose not work well on overlapping community detection To address this issue, this paper gives an overview of overlapping community detection, involves community(More)
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