Reproducibility Package for "Explainable Artificial Intelligence for Large-Scale Hotel Complaint Analytics: Service-Failure Diagnosis and Intervention Prioritization" (v1.1.0)
Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Customer Service Quality and Loyalty
Abstract
This repository contains the reproducibility package (v1.1.0) for the manuscript “Explainable Artificial Intelligence for Large-Scale Hotel Complaint Analytics: Service-Failure Diagnosis and Intervention Prioritization” (Manuscript No. IJSEKE-D-26-00206).The package supports the revised fine-topic-level analysis based on frozen BERTopic assignments, XGBoost modeling, SHAP interpretation, full-complaint-pool sensitivity analysis, clustering-stability diagnostics, embedding sensitivity analysis, and multi-label sensitivity analysis. It also contains dependency information, expected outputs, verification tests, and source materials required to reproduce the reported tables and figures.The raw Booking.com Hotel Reviews dataset is not redistributed. Users must obtain the original dataset separately from its public source and verify it against the checksum documented in the package.Version 1.1.0 corresponds to the major-revision analysis for manuscript IJSEKE-D-26-00206.
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9
This paper presents a comprehensive overview of the Ultralytics YOLO family, emphasizing architectural evolution, benchmarking, deployment, and emerging directions from YOLOv5 through YOLO27, and examines detection, segmentation, depth, classification, pose, oriented detection, tracking, export, quantization, and deplo...
This work revisits schema linking when using the latest generation of large language models (LLMs) and finds empirically that newer models are adept at utilizing relevant schema elements during generation even in the presence of large numbers of irrelevant ones.
Karime Maamari, Fadhil Abubaker, Daniel Jaroslawicz et al.· arXiv.org· 109 citations· ⚡19
A novel threat is unveiled in which attackers steer the RAG system's response by injecting malicious passages into its knowledge base, enabling the attacker to steer the response without altering the user input or modifying the RAG weights.
Jiaqi Xue, Meng Zheng, Yebowen Hu et al.· arXiv.org· 109 citations· ⚡8
With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.
Professor Sherry Turkle’s new book, “Artificial Intimacy,” offers a withering critique of chatbots and the antisocial dynamics she believes they encourage.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.