Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Reproduction of "Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations"

Type de record:

paper
Créateur:
ShaKrucreBas
Éditeur:
Zenodo
Hôte:avatar
This report presents an attempt to reproduce the results from the paper titled "Post Processing Recommender Systems with Knowledge Graphs for Explainable Reasoning" published in the Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022). 

Visit

doi.orgzenodo.org

Tags

Reproducibility of ResultsRecommender SystemsSIGIR 2022Experimental Design

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similaires

Predicting East Africa's rainfall extremes with calibrated AI post-processing systemsSuvarthiSarkar/Creation-of-Knowledge-Graphs-for-Low-resource-LanguageCounterfactual Explanations for Domain Specific NLP Systems with Applications to Radiology and Hate SpeechA Systematic Review of Customised Career Recommender Systems for South AfricaInformation-Optimized and Adaptive Document Segmentation for Multilingual Knowledge GraphsImplementation of the Kenya Innovation Bridge using Recommender Systems

Predicting East Africa's rainfall extremes with calibrated AI post-processing systems

Abstract Accurate and reliable rainfall forecasts are crucial for Early Warning Sy

SuvarthiSarkar/Creation-of-Knowledge-Graphs-for-Low-resource-Language

In this paper, we have worked on two different research problems: performing cross-lingual Knowledge

Counterfactual Explanations for Domain Specific NLP Systems with Applications to Radiology and Hate Speech

Counterfactual and contrastive explanations have emerged as promising approaches to interpretability

A Systematic Review of Customised Career Recommender Systems for South Africa

Information-Optimized and Adaptive Document Segmentation for Multilingual Knowledge Graphs

Developing precise knowledge representations from extensive textual resources and linguistically sca

Implementation of the Kenya Innovation Bridge using Recommender Systems