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Recommender systems typically retrieve items from an item corpus for personalized recommendations.
Language Models Are Few-shot Learners. In
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Preventing Shilling Attacks in Online Recommender Systems. In
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On Social Networks and Collaborative Recommendation. In
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BPR: Bayesian Personalized Ranking from Implicit Feedback. In
Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009 · 2009
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The YouTube video recommendation system. In
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Social Media Recommendation Based on People and Tags. In
Ido Guy, Naama Zwerdling, Inbal Ronen, David Carmel, and Erel Uziel. 2010 · 2010
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Unifying explicit and implicit feedback for collaborative filtering. In
Nathan N Liu, Evan W Xiang, Min Zhao, and Qiang Yang. 2010 · 2010
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Fast Context-aware Recommendations with Factorization Machines. In
Steffen Rendle, Zeno Gantner, Christoph Freudenthaler, and Lars Schmidt-Thieme. 2011 · 2011
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Shilling Attacks Against Recommender Systems: A Comprehensive Survey
Ihsan Gunes, Cihan Kaleli, Alper Bilge, and Huseyin Polat. 2014 · 2014
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Personalityzation: UI personalization, theoretical grounding in HCI and design research
Ofer Arazy, Oded Nov, and Nanda Kumar. 2015 · 2015
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The netflix recommender system: Algorithms, business value, and innovation
Carlos A Gomez-Uribe and Neil Hunt. 2015 · 2015
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Multi-task Deep Visual-semantic Embedding for Video Thumbnail Selection. In
Wu Liu, Tao Mei, Yongdong Zhang, Cherry Che, and Jiebo Luo. 2015 · 2015
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Concrete Problems in AI Safety
Dario Amodei, Chris Olah, Jacob Steinhardt, Paul Christiano, John Schulman, and Dan Mané. 2016 · 2016
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Session-based Recommendations with Recurrent Neural Networks. In
Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2016 · 2016
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Quo vadis, action recognition? a new model and the kinetics dataset. In
Joao Carreira and Andrew Zisserman. 2017 · 2017
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Neural Collaborative Filtering. In
Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat-Seng Chua. 2017 · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017 · 2017
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Collaborative Memory Network for Recommendation Systems. In
Travis Ebesu, Bin Shen, and Yi Fang. 2018 · 2018
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Self-attentive sequential recommendation. In
Wang-Cheng Kang and Julian McAuley. 2018 · 2018
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Variational Autoencoders for Collaborative Filtering. In
Dawen Liang, Rahul G Krishnan, Matthew D Hoffman, and Tony Jebara. 2018 · 2018
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Analyzing and Characterizing User Intent in Information-seeking Conversations. In
Chen Qu, Liu Yang, W Bruce Croft, Johanne R Trippas, Yongfeng Zhang, and Minghui Qiu. 2018 · 2018
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Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy
Hyejin Shin, Sungwook Kim, Junbum Shin, and Xiaokui Xiao. 2018 · 2018
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Conversational Recommender System. In
Yueming Sun and Yi Zhang. 2018 · 2018
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Towards Conversational Search and Recommendation: System Ask, User Respond. In
Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang, and W Bruce Croft. 2018 · 2018
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Towards Intelligent Regulation of Artificial Intelligence
Miriam C Buiten. 2019 · 2019
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Determining Authenticity of Video Evidence in the Age of Artificial Intelligence and In the Wake of Deepfake Videos
Marie-Helen Maras and Alex Alexandrou. 2019 · 2019
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FVD: A new metric for video generation
Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, and Sylvain Gelly. 2019 · 2019
Cited alongside, same era.
Opportunities and challenges of utilizing personality traits for personalization in HCI
Sarah Theres Völkel, Ramona Schödel, Daniel Buschek, Clemens Stachl, Quay Au, Bernd Bischl, Markus Bühner, and Heinrich Hussmann. 2019 · 2019
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Proactive vs. reactive personalization: Can customization of privacy enhance user experience?
Bo Zhang and S Shyam Sundar. 2019 · 2019
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Bias in Search and Recommender Systems. In
Ricardo Baeza-Yates. 2020 · 2020
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Evolutionary Procedural Content Generation for An Endless Platform Game. In
Rafael Guerra de Pontes and Herman Martins Gomes. 2020 · 2020
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Fairness-aware Explainable Recommendation Over Knowledge Graphs. In
Variational Reasoning about User Preferences for Conversational Recommendation. In
Zhaochun Ren, Zhi Tian, Dongdong Li, Pengjie Ren, Liu Yang, Xin Xin, Huasheng Liang, Maarten de Rijke, and Zhumin Chen. 2022 · 2022
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High-resolution Image Synthesis with Latent Diffusion Models. In
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
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Make-a-video: Text-to-video generation without text-video data
Uriel Singer, Adam Polyak, Thomas Hayes, Xi Yin, Jie An, Songyang Zhang, Qiyuan Hu, Harry Yang, Oron Ashual, Oran Gafni, et al · 2022
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Conversational Recommendation via Hierarchical Information Modeling. In
Quan Tu, Shen Gao, Yanran Li, Jianwei Cui, Bin Wang, and Rui Yan. 2022 · 2022
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MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation. In
Vikram Voleti, Alexia Jolicoeur-Martineau, and Christopher Pal. 2022 · 2022
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Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, et al · 2020
Cited alongside, same era.
Counteracting Bias and Increasing Fairness in Search and Recommender Systems. In
Ruoyuan Gao and Chirag Shah. 2020 · 2020
Cited alongside, same era.
Lightgcn: Simplifying and Powering Graph Convolution Network for Recommendation. In
Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, and Meng Wang. 2020 · 2020
Cited alongside, same era.
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy, Alexander Zhebrak, Benjamin Sanchez-Lengeling, Sergey Golovanov, Oktai Tatanov, Stanislav Belyaev, Rauf Kurbanov, Aleksey Artamonov, Vladimir Aladinskiy, Mark Veselov, et al · 2020
Cited alongside, same era.
Popmag: Pop Music Accompaniment Generation. In
Yi Ren, Jinzheng He, Xu Tan, Tao Qin, Zhou Zhao, and Tie-Yan Liu. 2020 · 2020
Cited alongside, same era.
A survey of fake news: Fundamental theories, detection methods, and opportunities
Xinyi Zhou and Reza Zafarani. 2020 · 2020
Cited alongside, same era.
Sequential recommendation with graph neural networks. In
Jianxin Chang, Chen Gao, Yu Zheng, Yiqun Hui, Yanan Niu, Yang Song, Depeng Jin, and Yong Li. 2021 · 2021
Cited alongside, same era.
Later among the works it cites.
Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al · 2022
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VToonify: Controllable High-Resolution Portrait Video Style Transfer
Shuai Yang, Liming Jiang, Ziwei Liu, and Chen Change Loy. 2022b · 2022
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Fair Top-k Ranking with multiple protected groups
Meike Zehlike, Tom Sühr, Ricardo Baeza-Yates, Francesco Bonchi, Carlos Castillo, and Sara Hajian. 2022 · 2022
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Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. In
Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun, and Cheng Long. 2022 · 2022
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Tallrec: An effective and efficient tuning framework to align large language model with recommendation. In
Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, and Xiangnan He. 2023 · 2023
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Instructpix2pix: Learning to follow image editing instructions. In
Tim Brooks, Aleksander Holynski, and Alexei A Efros. 2023 · 2023
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Uncovering ChatGPT’s Capabilities in Recommender Systems
Sunhao Dai, Ninglu Shao, Haiyuan Zhao, Weijie Yu, Zihua Si, Chen Xu, Zhongxiang Sun, Xiao Zhang, and Jun Xu. 2023 · 2023
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Palm-e: An embodied multimodal language model
Danny Driess, Fei Xia, Mehdi SM Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, et al · 2023
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Chat-rec: Towards interactive and explainable llms-augmented recommender system
Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, and Jiawei Zhang. 2023 · 2023
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AIGC challenges and opportunities related to public safety: a case study of ChatGPT
Danhuai Guo, Huixuan Chen, Ruoling Wu, and Yangang Wang. 2023 · 2023
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Large language models are zero-shot rankers for recommender systems
Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian McAuley, and Wayne Xin Zhao. 2023 · 2023
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Multimodal foundation models: From specialists to general-purpose assistants
Chunyuan Li, Zhe Gan, Zhengyuan Yang, Jianwei Yang, Linjie Li, Lijuan Wang, and Jianfeng Gao. 2023a · 2023
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GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation
Jinming Li, Wentao Zhang, Tian Wang, Guanglei Xiong, Alan Lu, and Gerard Medioni. 2023b · 2023
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Promoting music exploration through personalized nudging in a genre exploration recommender
Yu Liang and Martijn C Willemsen. 2023 · 2023
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A Multi-facet Paradigm to Bridge Large Language Model and Recommendation
Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, and Tat-Seng Chua. 2023 · 2023
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Is ChatGPT a Good Recommender? A Preliminary Study
Junling Liu, Chao Liu, Renjie Lv, Kang Zhou, and Yan Zhang. 2023 · 2023
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ChatGPT: a case study on copyright challenges for generative artificial intelligence systems
Nicola Lucchi. 2023 · 2023
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DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D Manning, and Chelsea Finn. 2023 · 2023
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Security and privacy on generative data in aigc: A survey
Tao Wang, Yushu Zhang, Shuren Qi, Ruoyu Zhao, Zhihua Xia, and Jian Weng. 2023 · 2023
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Ai-generated content (aigc): A survey
Jiayang Wu, Wensheng Gan, Zefeng Chen, Shicheng Wan, and Hong Lin. 2023b · 2023
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Next-gpt: Any-to-any multimodal llm
Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, and Tat-Seng Chua. 2023a · 2023
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MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models
Dingyao Yu, Kaitao Song, Peiling Lu, Tianyu He, Xu Tan, Wei Ye, Shikun Zhang, and Jiang Bian. 2023 · 2023
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Action2motion: Conditioned Generation of 3d Human Motions. In
Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, and Li Cheng. 2020 · 2029
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