Empirical Analysis of Predictive Algorithms for Collaborative Filtering

30 January 2013

Papers citing "Empirical Analysis of Predictive Algorithms for Collaborative Filtering"

50 / 166 papers shown

Title
NAM: A Normalization Attention Model for Personalized Product Search In Fliggy Shui Liu Mingyuan Tao Maofei Que Pan Li Dong Li Shenghua Ni Zhuoran Zhuang 17 0 0 10 Jun 2025
Extending MovieLens-32M to Provide New Evaluation Objectives Mark D. Smucker Houmaan Chamani 426 0 0 02 Apr 2025
Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 61 0 0 25 Feb 2025
Hypergraph Diffusion for High-Order Recommender Systems Darnbi Sakong T. T. Huynh Jun Jo DiffM 118 0 0 28 Jan 2025
A Contrastive Framework with User, Item and Review Alignment for Recommendation Hoang V. Dong Yuan Fang Hady W. Lauw 443 2 0 21 Jan 2025
A multi-theoretical kernel-based approach to social network-based recommendation Xin Li Mengyue Wang T. -P. Liang 137 43 0 15 Dec 2024
Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network Suraj Kumar S. Chattopadhyay Chandranath Adak 31 0 0 23 Oct 2024
A Survey of Latent Factor Models in Recommender Systems Hind I. Alshbanat Hafida Benhidour Said Kerrache LRM BDL 78 1 0 28 May 2024
A Survey of Generative Search and Recommendation in the Era of Large Language Models Chak Tou Leong Xinyu Lin Wenjie Wang Fuli Feng Liang Pang Wenjie Li Liqiang Nie Xiangnan He Tat-Seng Chua 3DV LRM 86 9 0 25 Apr 2024
General Item Representation Learning for Cold-start Content Recommendations Jooeun Kim Jinri Kim Kwangeun Yeo Eungi Kim Kyoung-Woon On Jonghwan Mun Joonseok Lee VLM 52 1 0 22 Apr 2024
Predictive, scalable and interpretable knowledge tracing on structured domains Hanqi Zhou Robert Bamler Charley M. Wu Álvaro Tejero-Cantero AI4Ed 60 10 0 19 Mar 2024
Accelerating Matrix Factorization by Dynamic Pruning for Fast Recommendation Yining Wu Shengyu Duan G. Sai Chenhong Cao Guobing Zou 28 0 0 18 Mar 2024
Scaling User Modeling: Large-scale Online User Representations for Ads Personalization in Meta Wei Zhang Dai Li Chen Liang Fang Zhou Zhongke Zhang ... Huayu Li Yunnan Wu Zhan Shu Mindi Yuan Sri Reddy 75 11 0 16 Nov 2023
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems Junjie Zhang Yupeng Hou Ruobing Xie Wenqi Sun Julian McAuley Wayne Xin Zhao Leyu Lin Ji-Rong Wen LLMAG 50 84 0 13 Oct 2023
Dual Latent State Learning: Exploiting Regional Network Similarities for QoS Prediction Ziliang Wang Xiaohong Zhang Kechi Zhang Ze Shi Li Meng Yan 31 0 0 07 Oct 2023
ARRQP: Anomaly Resilient Real-time QoS Prediction Framework with Graph Convolution Suraj Kumar S. Chattopadhyay 24 0 0 22 Sep 2023
Distributionally-Informed Recommender System Evaluation Michael D. Ekstrand Ben Carterette Fernando Diaz OffRL 56 11 0 12 Sep 2023
Representation Learning in Low-rank Slate-based Recommender Systems Yijia Dai Wen Sun OffRL 47 0 0 10 Sep 2023
Evaluating ChatGPT as a Recommender System: A Rigorous Approach Dario Di Palma Giovanni Maria Biancofiore Vito Walter Anelli Fedelucio Narducci Tommaso Di Noia E. Sciascio ALM 121 30 0 07 Sep 2023
Recommender Systems for Online and Mobile Social Networks: A survey M. Campana Franca Delmastro OffRL 18 67 0 28 Jun 2023
DEKGCI: A double-sided recommendation model for integrating knowledge graph and user-item interaction graph Yajing Yang Zeyu Zeng Mao Chen Ruirui Shang 45 0 0 24 Jun 2023
Data augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization Shamal Shaikh Venkateswara Rao Kagita Vikas Kumar A. K. Pujari 71 5 0 22 Jun 2023
Online Learning in a Creator Economy Banghua Zhu Sai Praneeth Karimireddy Jiantao Jiao Michael I. Jordan 70 9 0 19 May 2023
TPMCF: Temporal QoS Prediction using Multi-Source Collaborative Features Suraj Kumar Soumiki Chattopadhyay Chandranath Adak 32 2 0 30 Mar 2023
Recommender Systems: A Primer P. Castells Dietmar Jannach OffRL 42 5 0 06 Feb 2023
A Survey of Graph Neural Networks for Social Recommender Systems Kartik Sharma Yeon-Chang Lee S. Nambi Aditya Salian Shlok Shah Sang-Wook Kim Srijan Kumar 86 102 0 08 Dec 2022
Intent Recognition in Conversational Recommender Systems Sahar Moradizeyveh 88 5 0 06 Dec 2022
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence Peter Stone R. Brooks Erik Brynjolfsson Ryan Calo Oren Etzioni ... W. Press A. Saxenian J. Shah Milind Tambe Astro Teller VLM ELM AI4TS 45 164 0 31 Oct 2022
Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning Junwu Xiong Xiaoyun Feng Yunzhou Shi James Y. Zhang Zhongzhou Zhao Wei Zhou OffRL 63 0 0 06 Oct 2022
Improving Conversational Recommender System via Contextual and Time-Aware Modeling with Less Domain-Specific Knowledge Lingzhi Wang Shafiq Joty Wei Gao Xingshan Zeng Kam-Fai Wong 61 10 0 23 Sep 2022
KQGC: Knowledge Graph Embedding with Smoothing Effects of Graph Convolutions for Recommendation Daisuke Kikuta Toyotaro Suzumura Md. Mostafizur Rahman Yuya Hirate Satyen Abrol Manoj Kondapaka Takuma Ebisu Pablo S. Loyola 29 1 0 23 May 2022
The Unfairness of Popularity Bias in Book Recommendation Mohammadmehdi Naghiaei Hossein A. Rahmani M. Dehghan FaML 128 27 0 27 Feb 2022
Distilling the Knowledge of Romanian BERTs Using Multiple Teachers Andrei-Marius Avram Darius Catrina Dumitru-Clementin Cercel Mihai Dascualu Traian Rebedea Vasile Puaics Dan Tufics 60 12 0 23 Dec 2021
A Mathematical Framework for Evaluation of SOAR Tools with Limited Survey Data Savannah Norem Ashley E. Rice Samantha Erwin Robert A. Bridges Sean Oesch Brian Weber 39 2 0 30 Nov 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 109 24 0 20 Sep 2021
Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems A. Nikolakopoulos Xia Ning Christian Desrosiers George Karypis OffRL 74 32 0 09 Sep 2021
NU:BRIEF -- A Privacy-aware Newsletter Personalization Engine for Publishers Ernesto Diaz-Aviles Claudia Orellana-Rodriguez Igor Brigadir Reshma Narayanan Kutty SyDa 8 0 0 08 Sep 2021
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation Zhiwei Liu Yong-Guang Chen Jia Li Philip S. Yu Julian McAuley Caiming Xiong 64 171 0 14 Aug 2021
A Comprehensive Review on Non-Neural Networks Collaborative Filtering Recommendation Systems Carmel Wenga Majirus Fansi S. Chabrier Jean-Martial Mari A. Gabillon 46 2 0 20 Jun 2021
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution Chuanhao Li Qingyun Wu Hongning Wang 78 5 0 14 Apr 2021
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems Martin Mladenov Chih-Wei Hsu Vihan Jain Eugene Ie Christopher Colby Nicolas Mayoraz H. Pham Dustin Tran Ivan Vendrov Craig Boutilier BDL 54 33 0 14 Mar 2021
FES: A Fast Efficient Scalable QoS Prediction Framework S. Chattopadhyay Chandranath Adak Ranjana Roy Chowdhury 18 0 0 12 Mar 2021
Interrogating the Black Box: Transparency through Information-Seeking Dialogues Andrea Aler Tubella Andreas Theodorou J. Nieves 18 2 0 09 Feb 2021
Improving Accountability in Recommender Systems Research Through Reproducibility Alejandro Bellogín A. Said 44 31 0 31 Jan 2021
Context-Specific Likelihood Weighting Nitesh Kumar Ondrej Kuzelka 40 1 0 24 Jan 2021
Research Progress of News Recommendation Methods Jing Qin 20 4 0 04 Dec 2020
Patient similarity: methods and applications Leyu Dai He Zhu Dianbo Liu 48 16 0 01 Dec 2020
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness Xuan Bi G. Adomavicius W. Li Annie Qu AI4TS 18 25 0 06 Nov 2020
RecoBERT: A Catalog Language Model for Text-Based Recommendations Itzik Malkiel Oren Barkan Avi Caciularu Noam Razin Ori Katz Noam Koenigstein 100 13 0 25 Sep 2020
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context Milena Filipovic B. Mitrevski Diego Antognini Emma Lejal Glaude Boi Faltings C. Musat OffRL 51 11 0 19 Sep 2020