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In this paper, we present a role-based contextual recommendation approach, containing a role mining algorithm and a role-based recommendation algorithm. Specifically, role represents common preference or behavior pattern among a group of users, which can be mined from context information and profiles. Role expresses user's context-aware interests, preferences, and requirements. Roles are then used...
In this paper, the new concepts such as configuration set, topological function, topological function set, configuration-function, and configuration-function set etc. of the metamorphic mechanisms or variable topology mechanisms are put forward for the first time. Six topological properties which include the mu degree of the motion of basic input and output motions are revealed, and the Boolean motion...
Dimensionality reduction is a necessary preprocessing step in many fields of information processing such as information retrieval, pattern recognition and data compression. Its goal is to discover the representative or the discriminative information residing in raw data. Locally linear embedding (LLE), one of effective manifold learning algorithms, addresses this problem by computing low-dimensional,...
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