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Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua · 2017

3 Pith papers cite this work. Polarity classification is still indexing.

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Title metadata for this work has not finished resolving. The hub is built from the citation graph; the title resolver retries DOI and OpenAlex on its next pass.

fields

cs.IR 2 cs.LG 1

years

2019 3

verdicts

UNVERDICTED 3

representative citing papers

Neural Cross-Domain Collaborative Filtering with Shared Entities

cs.IR · 2019-07-19 · unverdicted · novelty 4.0

NeuCDCF is a wide-and-deep neural architecture for cross-domain collaborative filtering that jointly learns matrix factorization and deep representations, reporting better performance than prior CDCF models on four real-world datasets.

Deep Social Collaborative Filtering

cs.IR · 2019-07-16 · unverdicted · novelty 4.0

DSCF is a deep social collaborative filtering model that uses distant neighbors and item-relevant opinions from social networks to improve recommendation accuracy over prior deep models.

citing papers explorer

Showing 3 of 3 citing papers.

  • A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce cs.LG · 2019-07-23 · unverdicted · none · ref 10

    A deep learning content-collaborative model for size and fit prediction that outperforms state-of-the-art on two public and two proprietary datasets.

  • Neural Cross-Domain Collaborative Filtering with Shared Entities cs.IR · 2019-07-19 · unverdicted · none · ref 14

    NeuCDCF is a wide-and-deep neural architecture for cross-domain collaborative filtering that jointly learns matrix factorization and deep representations, reporting better performance than prior CDCF models on four real-world datasets.

  • Deep Social Collaborative Filtering cs.IR · 2019-07-16 · unverdicted · none · ref 16

    DSCF is a deep social collaborative filtering model that uses distant neighbors and item-relevant opinions from social networks to improve recommendation accuracy over prior deep models.