ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.04346
  4. Cited By
Asymmetrical Hierarchical Networks with Attentive Interactions for
  Interpretable Review-Based Recommendation

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation

18 December 2019
Xin Dong
Jingchao Ni
Wei Cheng
Zhengzhang Chen
Bo Zong
Dongjin Song
Yanchi Liu
Haifeng Chen
Gerard de Melo
ArXivPDFHTML

Papers citing "Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation"

3 / 3 papers shown
Title
A Contrastive Framework with User, Item and Review Alignment for Recommendation
A Contrastive Framework with User, Item and Review Alignment for Recommendation
Hoang V. Dong
Yuan Fang
Hady W. Lauw
39
2
0
21 Jan 2025
Dynamic Review-based Recommenders
Dynamic Review-based Recommenders
K. Cvejoski
Ramses J. Sanchez
Christian Bauckhage
C. Ojeda
BDL
KELM
20
2
0
27 Oct 2021
Recommend for a Reason: Unlocking the Power of Unsupervised
  Aspect-Sentiment Co-Extraction
Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction
Zeyu Li
Wei Cheng
Reema Kshetramade
John Houser
Haifeng Chen
Wei Wang
25
5
0
07 Sep 2021
1