KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
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Updated
Aug 5, 2020 - Python
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
Paper list of NLP for recommender systems
Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021
Must-read Papers for Recommender Systems (RS)
Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
A unified framework to evaluate path reasoning methods across multiple beyond accuracy dimension and path (explanation) quality perspectives
ReXPlug: Explainable Recommendation using Plug and Play Language Model, SIGIR 2021
Code of the paper "Synthesizing Aspect-Driven Recommendation Explanations from Reviews", IJCAI'20
Explanation as a Defense of Recommendation (WSDM '21)
Code of the paper "Hypergraphs with Attention on Reviews for Explainable Recommendation", ECIR'24
Code of the paper "Explainable Recommendation with Comparative Constraints on Product Aspects", WSDM'21
[ICDM-2024] "DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation"
This repository hosts the code and the settings for the paper "Modular Debiasing of Latent User Representations in Prototype-based Recommender Systems" by Alessandro B. Melchiorre, Shahed Masoudian, Deepak Kumar, and Markus Schedl at ECML-PKDD'24.
Code of the paper "Question-Attentive Review-Level Explanation for Neural Rating Regression", TIST'24
Learning to Rank Aspects and Opinions for Comparative Explanations
PESI: Personalized Explanation recommendation with Sentiment Inconsistency between ratings and reviews. Knowledge-Based Systems, 2024.
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