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
Presentation a Trust Walker for rating prediction in Recommender System with Biased Random Walk: Effects of H-index Centrality, Similarity in Items and Friends Saman Forouzandeh M. Rostami K. Berahmand 122 44 0 10 Sep 2020
Time-Aware Music Recommender Systems: Modeling the Evolution of Implicit User Preferences and User Listening Habits in A Collaborative Filtering Approach Diego Sánchez-Moreno Yong Zheng M. García 22 22 0 26 Aug 2020
Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting LongBing Cao CML 55 49 0 01 Jul 2020
Coupling Learning of Complex Interactions LongBing Cao 86 134 0 01 Jul 2020
A session-based song recommendation approach involving user characterization along the play power-law distribution Diego Sánchez-Moreno V. F. L. Batista María Dolores Muñoz Vicente A. González M. García 23 10 0 25 Apr 2020
Survey of Privacy-Preserving Collaborative Filtering Islam Elnabarawy Wei Jiang D. Wunsch 8 0 0 18 Mar 2020
Advances in Collaborative Filtering and Ranking Liwei Wu 37 7 0 27 Feb 2020
Learning Distributional Programs for Relational Autocompletion Nitesh Kumar Ondrej Kuzelka Luc de Raedt NAI 24 2 0 23 Jan 2020
Modeling and Counteracting Exposure Bias in Recommender Systems Sami Khenissi O. Nasraoui OffRL CML 39 21 0 01 Jan 2020
CHAMELEON: A Deep Learning Meta-Architecture for News Recommender Systems [Phd. Thesis] Gabriel de Souza Pereira Moreira GNN 52 2 0 29 Dec 2019
Deep Latent Factor Model for Collaborative Filtering Aanchal Mongia Neha Jhamb Émilie Chouzenoux A. Majumdar BDL FedML GNN 40 36 0 10 Dec 2019
Location histogram privacy by sensitive location hiding and target histogram avoidance/resemblance (extended version) Grigorios Loukides George Theodorakopoulos 118 0 0 29 Nov 2019
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research Maurizio Ferrari Dacrema Simone Boglio Paolo Cremonesi Dietmar Jannach 78 198 0 18 Nov 2019
Advances in Machine Learning for the Behavioral Sciences Tomáš Kliegr Š. Bahník Johannes Furnkranz 30 14 0 08 Nov 2019
Selecting Reliable Blockchain Peers via Hybrid Blockchain Reliability Prediction Peilin Zheng Zibin Zheng Liang Chen 31 12 0 31 Oct 2019
RecSim: A Configurable Simulation Platform for Recommender Systems Eugene Ie Chih-Wei Hsu Martin Mladenov Vihan Jain Sanmit Narvekar Jing Wang Rui Wu Craig Boutilier 115 183 0 11 Sep 2019
PMD: An Optimal Transportation-based User Distance for Recommender Systems Yitong Meng XINYAN DAI Xiao Yan James Cheng Weiwen Liu B. Liao Jun Guo Guangyong Chen 20 1 0 10 Sep 2019
A Deep, Forgetful Novelty-Seeking Movie Recommender Model Ruomu Zou HAI 47 3 0 02 Sep 2019
Assessing the Impact of a User-Item Collaborative Attack on Class of Users Yashar Deldjoo Tommaso Di Noia Felice Antonio Merra AAML 36 25 0 21 Aug 2019
Benchmarking Surrogate-Assisted Genetic Recommender Systems Thomas Gabor Philipp Altmann 50 5 0 08 Aug 2019
A difficulty ranking approach to personalization in E-learning A. Segal Y. Gal Guy Shani Bracha Shapira AI4Ed 13 33 0 28 Jul 2019
Adaptive Sequential Experiments with Unknown Information Arrival Processes Y. Gur Ahmadreza Momeni 67 3 0 28 Jun 2019
Toward Simulating Environments in Reinforcement Learning Based Recommendations Xiangyu Zhao Long Xia Zhuoye Ding Dawei Yin Jiliang Tang 82 25 0 27 Jun 2019
The FacT: Taming Latent Factor Models for Explainability with Factorization Trees Yiyi Tao Yiling Jia Nan Wang Hongning Wang FAtt 78 71 0 03 Jun 2019
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology Eugene Ie Vihan Jain Jing Wang Sanmit Narvekar Ritesh Agarwal ... Vince Gatto Paul Covington Jim McFadden Tushar Chandra Craig Boutilier OffRL 140 70 0 29 May 2019
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering Liwei Wu Hsiang-Fu Yu Nikhil S. Rao James Sharpnack Cho-Jui Hsieh GNN 28 10 0 29 May 2019
Collaborative Self-Attention for Recommender Systems Kai-Lang Yao Wu-Jun Li 41 1 0 27 May 2019
GraphSE $^2$ : An Encrypted Graph Database for Privacy-Preserving Social Search Shangqi Lai Lizhen Qu Shifeng Sun Joseph K. Liu Yuhong Liu Dongxi Liu FedML 21 35 0 11 May 2019
Beyond Personalization: Research Directions in Multistakeholder Recommendation Himan Abdollahpouri G. Adomavicius Robin Burke Ido Guy Dietmar Jannach Toshihiro Kamishima Jan Krasnodebski L. Pizzato 60 41 0 01 May 2019
Cluster Developing 1-Bit Matrix Completion Chengkun Zhang Stephen Lu 51 0 0 07 Apr 2019
Nonparametric Density Estimation for High-Dimensional Data - Algorithms and Applications Zhipeng Wang D. W. Scott 71 71 0 30 Mar 2019
A Probabilistic Generative Model of Linguistic Typology Johannes Bjerva Yova Kementchedjhieva Ryan Cotterell Isabelle Augenstein 67 24 0 26 Mar 2019
Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction Dongyan Zhao Liang Zhang Bo Zhang Lizhou Zheng Yongjun Bao Weipeng P. Yan 29 3 0 22 Mar 2019
Risk Aware Ranking for Top- $k$ Recommendations Shameem Puthiya Parambath N. Vijayakumar Sanjay Chawla 16 1 0 17 Mar 2019
SPMF: A Social Trust and Preference Segmentation-based Matrix Factorization Recommendation Algorithm Wei Peng Baogui Xin 38 11 0 11 Mar 2019
Diffusion Variational Autoencoders Luis A. Pérez Rey Vlado Menkovski Jacobus W. Portegies DiffM BDL DRL 69 62 0 25 Jan 2019
On the Dimensionality of Word Embedding Zi Yin Yuanyuan Shen 72 193 0 11 Dec 2018
The Graph-Based Behavior-Aware Recommendation for Interactive News Mingyuan Ma Sen Na Hongyu Wang Congzhou Chen Jin Xu 127 19 0 30 Nov 2018
An Efficient Approach to Informative Feature Extraction from Multimodal Data Lichen Wang Jiaxiang Wu Shao-Lun Huang Lizhong Zheng Xiangxiang Xu Lin Zhang Junzhou Huang 71 66 0 22 Nov 2018
Leveraging Virtual and Real Person for Unsupervised Person Re-identification Fengxiang Yang Zhun Zhong Zhiming Luo Sheng Lian Shaozi Li 88 28 0 05 Nov 2018
Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data Shuo Yang 116 1 0 02 Nov 2018
Predicting computational reproducibility of data analysis pipelines in large population studies using collaborative filtering Soudabeh Barghi Lalet Scaria A. Salari Tristan Glatard 13 0 0 26 Sep 2018
Large-Scale Stochastic Sampling from the Probability Simplex Jack Baker Paul Fearnhead E. Fox Christopher Nemeth 54 7 0 19 Jun 2018
A Machine-Learning Item Recommendation System for Video Games Paul Bertens Anna Guitart Pei Pei Chen África Periánez 36 44 0 13 Jun 2018
Collaborative Filtering with Topic and Social Latent Factors Incorporating Implicit Feedback Guangneng Hu Xinyu Dai Feng-Yu Qiu Rui Xia Tao Li Shujian Huang Jiajun Chen 39 43 0 26 Mar 2018
Convolutional Geometric Matrix Completion Kai-Lang Yao Wu-Jun Li Jianbo Yang Xinyan Lu GNN 42 8 0 02 Mar 2018
Understand Functionality and Dimensionality of Vector Embeddings: the Distributional Hypothesis, the Pairwise Inner Product Loss and Its Bias-Variance Trade-off Zi Yin 50 8 0 01 Mar 2018
Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning Xiangyu Zhao Li Zhang Zhuoye Ding Long Xia Jiliang Tang Dawei Yin 112 336 0 19 Feb 2018
MedTQ: Dynamic Topic Discovery and Query Generation for Medical Ontologies F. Shen Yugyung Lee 16 5 0 12 Feb 2018
TransRev: Modeling Reviews as Translations from Users to Items Alberto García-Durán Roberto Gonzalez Daniel Oñoro-Rubio Mathias Niepert Hui Li 32 25 0 30 Jan 2018