Heterogeneous information network enhanced academic paper recommendation method
A heterogeneous information network and recommendation method technology, which is applied in neural learning methods, biological neural network models, digital data information retrieval, etc., can solve problems such as sparse interactive data, and achieve the effect of improving accuracy
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[0060] Embodiment: A method for recommending academic papers enhanced by a heterogeneous information network, the process is as follows figure 1 shown.
[0061] Step 1. Build a heterogeneous information network.
[0062] Such as figure 2 For a heterogeneous information network built on a citeulike dataset, figure 2 The part (a) in the figure represents the node type, the part (b) represents the heterogeneous information network, the part (c) represents the meta-path, and the part (d) represents the meta-path neighbors. The network contains three types of nodes: user U, paper P and label T, 3 kinds of relationships: user-paper interaction relationship, inter-paper citation relationship, and paper label inclusion relationship. The citeulike data set is a public data set suitable for the field of paper recommendation. Three files, users.dat, citations.dat and item-tag.dat are selected as the original data, among which users.dat is the user's historical click paper record, ci...
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