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An Integrated Autoencoder-Based Filter for Sparse Big Data
We propose a novel filter for sparse big data, called an integrated autoencoder (IAE), which utilizes auxiliary information to mitigate data sparsity.
SPMF: A Social Trust and Preference Segmentation-based Matrix Factorization Recommendation Algorithm
The traditional social recommendation algorithm ignores the following fact: the preferences of users with trust relationships are not necessarily similar, and the consideration of user preference similarity should be limited to specific areas.
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