我在引用参考文献时遇到了问题

Question

所以我正在使用背页，这是我的项目设置：

root
├── 1. Etat de l'art
    ├── 1. RS.tex
    ├── 2. CARS.tex
    ├── 3. IoT.tex
    └── etat_de_l'art.tex
├── 2. Conception
├── 3. Implementation
├── Figures
├── bibliographie.bib
└── pfe.tex

pfe.tex 是重新组合所有子文件的主文件。以下是 pfe.tex 的内容

\documentclass[12pt, oneside, a4paper]{report}

\usepackage{geometry}
\usepackage{graphicx}
\usepackage{enumitem}
\usepackage{hyperref}
\usepackage{natbib}

\geometry{left=3cm,right=3cm,top=2.5cm,bottom=2.5cm}
\linespread{1.25}
\setlength{\parindent}{10pt}

\author{}
\title{PFE}

\begin{document}

\tableofcontents
\chapter{État de l'art}
\input{1. État de l'art/etat_de_l'art.tex}

\bibliographysytle{plain}
\bibliography{bibliographie.bib}
\end{document}

现在在 RS.tex 中，我尝试为 bibliographie.bib 文件引用一些内容，但它给出了一个错误，提示找不到引用。

以下是 RS.tex 的内容

\subsection{Définition des RSs}
De nos jours, l’avancement des performances des ordinateurs et des réseaux informatiques 
nous on permet d’exploiter encore plus le monde virtuel, et de numériser nos activités 
quotidiennes comme le shopping, la lecture des journaux \cite{lu_recommender_2012}.

这是 bibliographie.bib 文件：

@article{lu_recommender_2012,
    series = {Recommender {Systems}},
    title = {Recommender systems},
    volume = {519},
    issn = {0370-1573},
    url = {https://www.sciencedirect.com/science/article/pii/S0370157312000828},
    doi = {10.1016/j.physrep.2012.02.006},
    abstract = {The ongoing rapid expansion of the Internet greatly increases the necessity of effective recommender systems for filtering the abundant information. Extensive research for recommender systems is conducted by a broad range of communities including social and computer scientists, physicists, and interdisciplinary researchers. Despite substantial theoretical and practical achievements, unification and comparison of different approaches are lacking, which impedes further advances. In this article, we review recent developments in recommender systems and discuss the major challenges. We compare and evaluate available algorithms and examine their roles in the future developments. In addition to algorithms, physical aspects are described to illustrate macroscopic behavior of recommender systems. Potential impacts and future directions are discussed. We emphasize that recommendation has great scientific depth and combines diverse research fields which makes it interesting for physicists as well as interdisciplinary researchers.},
    language = {en},
    number = {1},
    urldate = {2022-12-21},
    journal = {Physics Reports},
    author = {Lü, Linyuan and Medo, Matúš and Yeung, Chi Ho and Zhang, Yi-Cheng and Zhou, Tao},
    month = oct,
    year = {2012},
    keywords = {Information filtering, Networks, Recommender systems},
    pages = {1--49},
    file = {ScienceDirect Snapshot:C\:\\Users\\Agh\\Zotero\\storage\\QCE53MUG\\S0370157312000828.html:text/html;Version acceptée:C\:\\Users\\Agh\\Zotero\\storage\\KX7HTGET\\Lü et al. - 2012 - Recommender systems.pdf:application/pdf},
}