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20162020
most citedA Formal Approach to the Problem of Logical Non-Omniscience

7 citations

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Showing 2019Show all

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cs.IR2019

Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation

Yuan Zhang, Xiaoran Xu, Hanning Zhou +1

Recently, the embedding-based recommendation models (e.g., matrix factorization and deep models) have been prevalent in both academia and industry due to their effectiveness and fl…

stat.ML2019

Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections

Michael Wojnowicz, Di Zhang, Glenn Chisholm +2

For very large datasets, random projections (RP) have become the tool of choice for dimensionality reduction. This is due to the computational complexity of principal component ana…