Distilling structured knowledge into embeddings for explainable and accurate recommendation

Y Zhang, X Xu, H Zhou, Y Zhang - … of the 13th international conference on …, 2020 - dl.acm.org
Recently, the embedding-based recommendation models (eg, matrix factorization and deep
models) have been prevalent in both academia and industry due to their effectiveness and …
被引用次数：72 相关文章

Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation

Y Zhang, X Xu, H Zhou, Y Zhang - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Recently, the embedding-based recommendation models (eg, matrix factorization and deep
models) have been prevalent in both academia and industry due to their effectiveness and …

Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation

Y Zhang, X Xu, H Zhou, Y Zhang - arXiv preprint arXiv:1912.08422, 2019 - arxiv.org
Recently, the embedding-based recommendation models (eg, matrix factorization and deep
models) have been prevalent in both academia and industry due to their effectiveness and …

[引用][C] Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation

Y Zhang, X Xu, H Zhou, Y Zhang - … Conference on Web Search and Data …, 2020 - cir.nii.ac.jp
Distilling Structured Knowledge into Embeddings for Explainable and Accurate
Recommendation | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ …
[PDF] academia.edu

[PDF][PDF] Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation

Y Zhang, X Xu, H Zhou, Y Zhang - 2020 - academia.edu
Recently, the embedding-based recommendation models (eg, matrix factorization and deep
models) have been prevalent in both academia and industry due to their effectiveness and …