论文：完成引言、结论、关摘 (d3c828bc) · Commits · 施乐存 / bilibili-ugc-anal

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		set math.vec(delim: ("[", "]"))
		set math.mat(delim: ("[", "]"))
		set footnote(numbering: "注1")
		show footnote: set text(9pt, font: font.fangsong)
		show footnote: set text(font: font.fangsong)
		show footnote.entry: set text(9pt, font: font.fangsong)
		show figure.caption: set text(9pt, font: font.fangsong)
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paper/works.bib

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		@misc{Bilibili_API_collect,
		author = {社会易姐QwQ and 晨叶梦春 and Session小胡 and z0z0r4 and others},
		title = {哔哩哔哩 - API 收集整理},
		howpublished = {\url{https://github.com/SocialSisterYi/bilibili-API-collect}},
		note = {Accessed: 2025-12-18},
		url = {https://github.com/SocialSisterYi/bilibili-API-collect},
		note = {Accessed: 2025-11-20},
		year = {2025}
		}

		@misc{Mathematica14,
		author = {Wolfram Research{,} Inc.},
		title = {Mathematica, {V}ersion 14.0},
		url = {https://www.wolfram.com/mathematica},
		note = {Champaign, IL, 2025}
		}

		@misc{Sqlite3_2025,
		title={{SQLite}},
		url={https://www.sqlite.org/index.html},
		version={3.51.1},
		year={2025},
		author={Hipp, Richard D}
		}

		@misc{BlackMyth_2024,
		author = {杭州游科互动科技有限公司},
		title = {黑神话：悟空},
		howpublished = {\url{https://gamesci.cn/wukong/}},
		year = {2024},
		}

		@article{Qwen_VL,
		title={Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond},
		author={Bai, Jinze and Bai, Shuai and Yang, Shusheng and Wang, Shijie and Tan, Sinan and Wang, Peng and Lin, Junyang and Zhou, Chang and Zhou, Jingren},
		@@ -26,8 +48,143 @@
		journal = {当代电视},
		volume = {},
		number = {06},
		pages = {76-79},
		pages = {76--79},
		year = {2025},
		issn = {1000-8977},
		doi = {10.16531/j.cnki.1000-8977.2025.06.011}
		}

		@article{Wang_Liang_2025,
		author = { 王亮 and 王鹤颖},
		title = {“滚动许愿池”何以形成?——Z世代用户弹幕许愿行为影响因素的扎根研究},
		journal = {数字出版研究},
		pages = {1-10},
		issn = {2097-1869},
		year = {2025},
		month = {nov},
		}

		@article{Wang_Chongfeng_2021,
		author = {王崇锋 and 李安 and 王世杰},
		title = {二次元社区企业战略转型绩效评价研究——以哔哩哔哩为例},
		journal = {财务管理研究},
		volume = {},
		number = {09},
		pages = {1-10},
		year = {2021},
		issn = {2096-7152},
		month = {sep},
		}

		@mastersthesis{Li_Yao_2022,
		author = { 李瑶 },
		title = {价值共创视角下哔哩哔哩商业模式及其用户评价研究},
		school = {西南财经大学},
		year = {2022},
		doi = {10.27412/d.cnki.gxncu.2022.001800},
		pages = {1--91},
		}

		@mastersthesis {Li_Zhaokun_2021,
		author = { 李朝昆 },
		title = {互联网社区的运营研究},
		school = {山东大学},
		year = {2021},
		doi = {10.27272/d.cnki.gshdu.2021.001225},
		pages = {1--89},
		}

		@article{Zhou_Ye_2026,
		author = { 周晔 and 张宇涵 },
		title = {短视频算法推荐对大学生价值观塑造的影响机制研究},
		journal = {北京科技大学学报(社会科学版)},
		volume = {42},
		number = {01},
		pages = {31--38},
		year = {2026},
		issn = {1008-2689},
		doi = {10.19979/j.cnki.issn10082689.2025060124}
		}

		@article{Li_Yusheng_2014,
		title = {Social recommendation algorithm fusing user interest social network},
		journal = {The Journal of China Universities of Posts and Telecommunications},
		volume = {21},
		pages = {26--33},
		year = {2014},
		issn = {1005-8885},
		doi = {https://doi.org/10.1016/S1005-8885(14)60516-1},
		url = {https://www.sciencedirect.com/science/article/pii/S1005888514605161},
		author = {Yu-sheng LI and Mei-na SONG and Hai-hong E and Jun-de SONG},
		keywords = {social recommendation, PMF, implicit user interest social connection network, explicit user social connection network},
		abstract = {Using the social information among users in recommender system can partly solve the data sparsely problems and significantly improve the performance of the recommendation system. However, the recommendation systems which using the users' social information have two main problems: the explicit user social connection information is not always available in real-world recommender systems, and the user social connection information is directly used in recommender systems when the user explicit social information is available. But as we know that the user social information is not all based on user interest, so this can introduce noise to the recommender systems. This paper proposes a social recommender system model called interest social recommendation (ISoRec). Based on probability matrix factorization (PMF), the model addresses the problems mentioned above by combining user-item rating matrix, explicit user social connection information and implicit user interest social connection information to make more accurately recommendation. In addition, the computational complexity of our algorithm is linear with respect to the number of observed data sets used in this algorithm, and can scalable to very large datasets.}
		}

		@article{Du_Dongfang_2018,
		author = { 杜东舫 and 徐童 and 鲁亚男 and 管楚 and 刘淇 and 陈恩红},
		title = {基于信任机制下概率矩阵分解的用户评分预测},
		journal = {软件学报},
		volume = {29},
		number = {12},
		pages = {3747--3763},
		year = {2018},
		issn = {1000-9825},
		doi = {10.13328/j.cnki.jos.005322}
		}

		@article{Kingsley_2022,
		title = {“Give Everybody [..] a Little Bit More Equity”: Content Creator Perspectives and Responses to the Algorithmic Demonetization of Content Associated with Disadvantaged Groups},
		volume = {6},
		ISSN = {2573-0142},
		url = {http://dx.doi.org/10.1145/3555149},
		DOI = {10.1145/3555149},
		number = {CSCW2},
		journal = {Proceedings of the ACM on Human-Computer Interaction},
		publisher = {Association for Computing Machinery (ACM)},
		author = {Kingsley, Sara and Sinha, Proteeti and Wang, Clara and Eslami, Motahhare and Hong, Jason I.},
		year = {2022},
		month = nov,
		pages = {1--37}
		}

		@inproceedings{Choi_2025,
		series = {CHI '25},
		title = {Creator Hearts: Investigating the Impact Positive Signals from YouTube Creators in Shaping Comment Section Behavior},
		url = {http://dx.doi.org/10.1145/3706598.3713521},
		DOI = {10.1145/3706598.3713521},
		booktitle = {Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems},
		publisher = {ACM},
		author = {Choi, Frederick and Lambert, Charlotte and Koshy, Vinay and Pratipati, Sowmya and Do, Tue and Chandrasekharan, Eshwar},
		year = {2025},
		month = apr,
		pages = {1--18},
		collection = {CHI '25}
		}

		@inproceedings{Xu_2025,
		series = {CIKM '25},
		title = {Forecasting the Buzz: Enriching Hashtag Popularity Prediction with LLM Reasoning},
		url = {http://dx.doi.org/10.1145/3746252.3760970},
		DOI = {10.1145/3746252.3760970},
		booktitle = {Proceedings of the 34th ACM International Conference on Information and Knowledge Management},
		publisher = {ACM},
		author = {Xu, Yifei and Wu, Jiaying and Wan, Herun and Li, Yang and Hou, Zhen and Kan, Min-Yen},
		year = {2025},
		month = nov,
		pages = {5396--5400},
		collection = {CIKM '25}
		}

		@inproceedings{Steuber_2023,
		series = {ASONAM '23},
		title = {Real-Time Anomaly Detection and Popularity Prediction for Emerging Events on Twitter},
		url = {http://dx.doi.org/10.1145/3625007.3627517},
		DOI = {10.1145/3625007.3627517},
		booktitle = {Proceedings of the International Conference on Advances in Social Networks Analysis and Mining},
		publisher = {ACM},
		author = {Steuber, Florian and Schneider, Sinclair and Schneider, Jo{\~a}o A. G. and Rodosek, Gabi Dreo},
		year = {2023},
		month = nov,
		pages = {300--304},
		collection = {ASONAM '23}
		}

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