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

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Must-read Papers for Recommender Systems (RS)

ReXPlug: Explainable Recommendation using Plug and Play Language Model, SIGIR 2021

Explanation as a Defense of Recommendation (WSDM '21)

A unified framework to evaluate path reasoning methods across multiple beyond accuracy dimension and path (explanation) quality perspectives

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 "Synthesizing Aspect-Driven Recommendation Explanations from Reviews", IJCAI'20

Code of the paper "Question-Attentive Review-Level Explanation for Neural Rating Regression", TIST'24

Code of the paper "Explainable Recommendation with Comparative Constraints on Product Aspects", WSDM'21

Learning to Rank Aspects and Opinions for Comparative Explanations

PESI: Personalized Explanation recommendation with Sentiment Inconsistency between ratings and reviews. Knowledge-Based Systems, 2024.

Code of the paper "Hypergraphs with Attention on Reviews for Explainable Recommendation", ECIR'24

[ICDM-2024] "DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation"