RecSys - RankMe

133 papers

Year	Title / Authors
2020	"Don't Judge a Book by its Cover": Exploring Book Traits Children Favor. Ashlee Milton, Levesson Batista, Garrett Allen, Siqi Gao, Yiu-Kai Ng, Maria Soledad Pera
2020	"Who doesn't like dinosaurs?" Finding and Eliciting Richer Preferences for Recommendation. Tobias Schnabel, Gonzalo A. Ramos, Saleema Amershi
2020	"You Really Get Me": Conversational AI Agents That Can Truly Understand and Help Users. Michelle X. Zhou
2020	3rd FAccTRec Workshop: Responsible Recommendation. Michael D. Ekstrand, Pierre-Nicolas Schwab, Jean Garcia-Gathright, Toshihiro Kamishima, Nasim Sonboli
2020	4 Reasons Why Social Media Make Us Vulnerable to Manipulation. Filippo Menczer
2020	A College Major Recommendation System. Samuel A. Stein, Gary M. Weiss, Yiwen Chen, Daniel D. Leeds
2020	A Federated Recommender System for Online Services. Ben Tan, Bo Liu, Vincent W. Zheng, Qiang Yang
2020	A Human Perspective on Algorithmic Similarity. Zachary A. Schendel, Faraz Farzin, Siddhi Sundar
2020	A Joint Dynamic Ranking System with DNN and Vector-based Clustering Bandit. Yu Liu, Xiaoxiao Xu, Jincheng Wang, Yong Li, Changping Peng, Yongjun Bao, Weipeng P. Yan
2020	A Method to Anonymize Business Metrics to Publishing Implicit Feedback Datasets. Yoshifumi Seki, Takanori Maehara
2020	A Ranking Optimization Approach to Latent Linear Critiquing for Conversational Recommender Systems. Hanze Li, Scott Sanner, Kai Luo, Ga Wu
2020	ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation. Fei Mi, Xiaoyu Lin, Boi Faltings
2020	Adaptive Pointwise-Pairwise Learning-to-Rank for Content-based Personalized Recommendation. Yagmur Gizem Cinar, Jean-Michel Renders
2020	Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code. Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
2020	Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison. Zhu Sun, Di Yu, Hui Fang, Jie Yang, Xinghua Qu, Jie Zhang, Cong Geng
2020	Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization. Rohan Anand, Joeran Beel
2020	AutoRec: An Automated Recommender System. Ting-Hsiang Wang, Xia Hu, Haifeng Jin, Qingquan Song, Xiaotian Han, Zirui Liu
2020	BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang
2020	Balancing Relevance and Discovery to Inspire Customers in the IKEA App. Balázs Tóth, Sandhya Sachidanandan, Emil S. Jørgensen
2020	Bayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation. David Rohde, Flavian Vasile, Sergey Ivanov, Otmane Sakhi
2020	Behavior-based Popularity Ranking on Amazon Video. Lakshmi Ramachandran
2020	Bias in Search and Recommender Systems. Ricardo Baeza-Yates
2020	Building a reciprocal recommendation system at scale from scratch: Learnings from one of Japan's prominent dating applications. R. Ramanathan, Nicolas K. Shinada, Sucheendra K. Palaniappan
2020	Carousel Personalization in Music Streaming Apps with Contextual Bandits. Walid Bendada, Guillaume Salha, Théo Bontempelli
2020	Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity. Chang Li, Haoyun Feng, Maarten de Rijke
2020	Causal Inference for Recommender Systems. Yixin Wang, Dawen Liang, Laurent Charlin, David M. Blei
2020	Characterizing and Mitigating the Impact of Data Imbalance for Stakeholders in Recommender Systems. Elizabeth Gómez
2020	Closed-Form Models for Collaborative Filtering with Side-Information. Olivier Jeunen, Jan Van Balen, Bart Goethals
2020	ClusterExplorer: Enable User Control over Related Recommendations via Collaborative Filtering and Clustering. Denis Kotkov, Qian Zhao, Kati Launis, Mats Neovius
2020	Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation. Francisco J. Peña, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Erika Duriakova, Barry Smyth, Aonghus Lawlor
2020	ComplexRec 2020: Workshop on Recommendation in Complex Environments. Toine Bogers, Marijn Koolen, Casper Petersen, Bamshad Mobasher, Alexander Tuzhilin
2020	Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation. Yin Zhang, Ziwei Zhu, Yun He, James Caverlee
2020	Context-aware Graph Embedding for Session-based News Recommendation. Heng-Shiou Sheu, Sheng Li
2020	Contextual Meta-Bandit for Recommender Systems Selection. Marlesson R. O. Santana, Luckeciano C. Melo, Fernando H. F. Camargo, Bruno Brandão, Anderson Soares, Renan M. Oliveira, Sandor Caetano
2020	Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation. Xu He, Bo An, Yanghua Li, Haikai Chen, Qingyu Guo, Xin Li, Zhirong Wang
2020	Contextual and Sequential User Embeddings for Large-Scale Music Recommendation. Casper Hansen, Christian Hansen, Lucas Maystre, Rishabh Mehrotra, Brian Brost, Federico Tomasi, Mounia Lalmas
2020	Conversational Agents for Recommender Systems. Andrea Iovine
2020	Counteracting Bias and Increasing Fairness in Search and Recommender Systems. Ruoyuan Gao, Chirag Shah
2020	Counterfactual learning for recommender system. Zhenhua Dong, Hong Zhu, Pengxiang Cheng, Xinhua Feng, Guohao Cai, Xiuqiang He, Jun Xu, Jirong Wen
2020	DRecPy: A Python Framework for Developing Deep Learning-Based Recommenders. Fábio Colaço, Márcia Barros, Francisco M. Couto
2020	Debiasing Item-to-Item Recommendations With Small Annotated Datasets. Tobias Schnabel, Paul N. Bennett
2020	Deconfounding User Satisfaction Estimation from Response Rate Bias. Konstantina Christakopoulou, Madeleine Traverse, Trevor Potter, Emma Marriott, Daniel Li, Chris Haulk, Ed H. Chi, Minmin Chen
2020	Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems. Guy Aridor, Duarte Gonçalves, Shan Sikdar
2020	Deep Bayesian Bandits: Exploring in Online Personalized Recommendations. Dalin Guo, Sofia Ira Ktena, Pranay Kumar Myana, Ferenc Huszar, Wenzhe Shi, Alykhan Tejani, Michael Kneier, Sourav Das
2020	Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG. Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier
2020	Developing Recommendation System to provide a Personalized Learning experience at Chegg. Sanghamitra Deb
2020	Developing Work in Confidence, Similarity Structure, and Modeling User Event Time. Jacob Munson
2020	Do Channels Matter? Illuminating Interpersonal Influence on Music Recommendations. Hyun Jeong Kim, So Yeon Park, Minju Park, Kyogu Lee
2020	Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions. Yuta Saito
2020	Efficiency-Effectiveness Trade-offs in Recommendation Systems. Iulia Paun
2020	Ensuring Fairness in Group Recommendations by Rank-Sensitive Balancing of Relevance. Mesut Kaya, Derek G. Bridge, Nava Tintarev
2020	Evolutionary Approach in Recommendation Systems for Complex Structured Objects. Bartolomé Ortiz Viso
2020	Explainable Recommendation for Repeat Consumption. Kosetsu Tsukuda, Masataka Goto
2020	Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering. Oren Barkan, Yonatan Fuchs, Avi Caciularu, Noam Koenigstein
2020	Exploiting Performance Estimates for Augmenting Recommendation Ensembles. Gustavo Penha, Rodrygo L. T. Santos
2020	Exploratory Methods for Evaluating Recommender Systems. Joey De Pauw
2020	Exploring Clustering of Bandits for Online Recommendation System. Liu Yang, Bo Liu, Leyu Lin, Feng Xia, Kai Chen, Qiang Yang
2020	Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis
2020	Exploring Longitudinal Effects of Session-based Recommendations. Andres Ferraro, Dietmar Jannach, Xavier Serra
2020	FISSA: Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation. Jing Lin, Weike Pan, Zhong Ming
2020	Fairness-aware Recommendation with librec-auto. Nasim Sonboli, Robin Burke, Zijun Liu, Masoud Mansoury
2020	Fifth International Workshop on Health Recommender Systems (HealthRecSys 2020). Alan Said, Hanna Schäfer, Helma Torkamaan, Christoph Trattner
2020	Fit to Run: Personalised Recommendations for Marathon Training. Jakim Berndsen, Barry Smyth, Aonghus Lawlor
2020	Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints. Dmitri Goldenberg, Javier Albert, Lucas Bernardi, Pablo Estevez
2020	From the lab to production: A case study of session-based recommendations in the home-improvement domain. Pigi Kouki, Ilias Fountalis, Nikolaos Vasiloglou, Xiquan Cui, Edo Liberty, Khalifeh Al Jadda
2020	Global and Local Differential Privacy for Collaborative Bandits. Huazheng Wang, Qian Zhao, Qingyun Wu, Shubham Chopra, Abhinav Khaitan, Hongning Wang
2020	Goal-driven Command Recommendations for Analysts. Samarth Aggarwal, Rohin Garg, Abhilasha Sancheti, Bhanu Prakash Reddy Guda, Iftikhar Ahamath Burhanuddin
2020	History-Augmented Collaborative Filtering for Financial Recommendations. Baptiste Barreau, Laurent Carlier
2020	ImRec: Learning Reciprocal Preferences Using Images. James Neve, Ryan McConville
2020	Improving One-class Recommendation with Multi-tasking on Various Preference Intensities. Chu-Jen Shao, Hao-Ming Fu, Pu-Jen Cheng
2020	In-Store Augmented Reality-Enabled Product Comparison and Recommendation. Jesús Omar Álvarez Márquez, Jürgen Ziegler
2020	Inferring the Causal Impact of New Track Releases on Music Recommendation Platforms through Counterfactual Predictions. Rishabh Mehrotra, Prasanta Bhattacharya, Mounia Lalmas
2020	Interfaces and Human Decision Making for Recommender Systems. Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Giovanni Semeraro, Martijn C. Willemsen
2020	Interpretable Contextual Team-aware Item Recommendation: Application in Multiplayer Online Battle Arena Games. Andrés Villa, Vladimir Araujo, Francisca Cattan, Denis Parra
2020	Introduction to Bandits in Recommender Systems. Andrea Barraza-Urbina, Dorota Glowacka
2020	Investigating Listeners' Responses to Divergent Recommendations. Rishabh Mehrotra, Chirag Shah, Benjamin A. Carterette
2020	Investigating Multimodal Features for Video Recommendations at Globoplay. Felipe Ferreira, Daniele R. Souza, Igor Moura, Matheus Barbieri, Hélio Côrtes Vieira Lopes
2020	Investigating the Impact of Audio States & Transitions for Track Sequencing in Music Streaming Sessions. Aaron Ng, Rishabh Mehrotra
2020	KRED: Knowledge-Aware Document Representation for News Recommendations. Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
2020	Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems. Jin Huang, Harrie Oosterhuis, Maarten de Rijke, Herke van Hoof
2020	Learning Representations of Hierarchical Slates in Collaborative Filtering. Ehtsham Elahi, Ashok Chandrashekar
2020	Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang
2020	Long-tail Session-based Recommendation. Siyi Liu, Yujia Zheng
2020	MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation. Sung Min Cho, Eunhyeok Park, Sungjoo Yoo
2020	Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction. Darius Afchar, Romain Hennequin
2020	Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems. Caojin Zhang, Yicun Liu, Yuanpu Xie, Sofia Ira Ktena, Alykhan Tejani, Akshay Gupta, Pranay Kumar Myana, Deepak Dilipkumar, Suvadip Paul, Ikuhiro Ihara, Prasang Upadhyaya, Ferenc Huszar, Wenzhe Shi
2020	MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems. Ahmed Rashed, Shayan Jawed, Lars Schmidt-Thieme, Andre Hintsches
2020	Neural Collaborative Filtering vs. Matrix Factorization Revisited. Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson
2020	ORSUM - Workshop on Online Recommender Systems and User Modeling. João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet
2020	Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation. Mawulolo K. Ameko, Miranda L. Beltzer, Lihua Cai, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
2020	On Target Item Sampling in Offline Recommender System Evaluation. Rocío Cañamares, Pablo Castells
2020	On the Heterogeneous Information Needs in the Job Domain: A Unified Platform for Student Career. Markus Reiter-Haas, David Wittenbrink, Emanuel Lacic
2020	Online Recommender system for Accessible Tourism Destinations. Luchiana Cezara Brodeala
2020	PURS: Personalized Unexpected Recommender System for Improving User Satisfaction. Pan Li, Maofei Que, Zhichao Jiang, Yao Hu, Alexander Tuzhilin
2020	Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin
2020	Personality Bias of Music Recommendation Algorithms. Alessandro B. Melchiorre, Eva Zangerle, Markus Schedl
2020	PicTouRe - A Picture-Based Tourism Recommender. Mete Sertkan, Julia Neidhardt, Hannes Werthner
2020	PodRecs: Workshop on Podcast Recommendations. Ching-Wei Chen, Longqi Yang, Hongyi Wen, Rosie Jones, Vladan Radosavljevic, Hugues Bouchard
2020	Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations. Hongyan Tang, Junning Liu, Ming Zhao, Xudong Gong
2020	Providing Explainable Race-Time Predictions and Training Plan Recommendations to Marathon Runners. Ciara Feely, Brian Caulfield, Aonghus Lawlor, Barry Smyth
2020	Query as Context for Item-to-Item Recommendation. Moumita Bhattacharya, Amey Barapatre
2020	REVEAL 2020: Bandit and Reinforcement Learning from User Interactions. Thorsten Joachims, Yves Raimond, Olivier Koch, Maria Dimakopoulou, Flavian Vasile, Adith Swaminathan
2020	RecSeats: A Hybrid Convolutional Neural Network Choice Model for Seat Recommendations at Reserved Seating Venues. Théo Moins, Daniel Aloise, Simon J. Blanchard
2020	RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline. Vito Walter Anelli, Amra Delic, Gabriele Sottocornola, Jessie Smith, Nazareno Andrade, Luca Belli, Michael M. Bronstein, Akshay Gupta, Sofia Ira Ktena, Alexandre Lung-Yut-Fong, Frank Portman, Alykhan Tejani, Yuanpu Xie, Xiao Zhu, Wenzhe Shi
2020	RecSys 2020: Fourteenth ACM Conference on Recommender Systems, Virtual Event, Brazil, September 22-26, 2020 Rodrygo L. T. Santos, Leandro Balby Marinho, Elizabeth M. Daly, Li Chen, Kim Falk, Noam Koenigstein, Edleno Silva de Moura
2020	Recommendations as Graph Explorations. Marialena Kyriakidi, Georgia Koutrika, Yannis E. Ioannidis
2020	Recommender-Systems.com: A Central Platform for the Recommender-System Community. Joeran Beel
2020	Recommending in changing times. Shruti Kunde, Mayank Mishra, Amey Pandit, Rekha Singhal, Manoj Karunakaran Nambiar, Gautam Shroff, Shashank Gupta
2020	Recommending the Video to Watch Next: An Offline and Online Evaluation at YOUTV.de. Panagiotis Symeonidis, Andrea Janes, Dmitry Chaltsev, Philip Giuliani, Daniel Morandini, Andreas Unterhuber, Ludovik Coba, Markus Zanker
2020	Reducing energy waste in households through real-time recommendations. Janhavi Dahihande, Akshay Jaiswal, Akshay Anil Pagar, Ajinkya Thakare, Magdalini Eirinaki, Iraklis Varlamis
2020	Revisiting Adversarially Learned Injection Attacks Against Recommender Systems. Jiaxi Tang, Hongyi Wen, Ke Wang
2020	SSE-PT: Sequential Recommendation Via Personalized Transformer. Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack
2020	Second Workshop on Recommender Systems in Fashion - fashionXrecsys2020. Shatha Jaradat, Nima Dokoohaki, Humberto Jesús Corona Pampín, Reza Shirvany
2020	Second Workshop on the Impact of Recommender Systems at ACM RecSys '20. Oren Sar Shalom, Dietmar Jannach, Joseph A. Konstan
2020	Smart Targeting: A Relevance-driven and Configurable Targeting Framework for Advertising System. Yong Li, Zihao Zhao, Zhiwei Fang, Kui Ma, Yafei Yao, Changping Peng, Yongjun Bao, Weipeng Yan
2020	TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations. Jin Peng Zhou, Zhaoyue Cheng, Felipe Pérez, Maksims Volkovs
2020	Taking advantage of images and texts in recommender systems: semantics and explainability. Pablo Pérez-Núñez
2020	The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation. Himan Abdollahpouri, Masoud Mansoury, Robin Burke, Bamshad Mobasher
2020	The Embeddings That Came in From the Cold: Improving Vectors for New and Rare Products with Content-Based Inference. Jacopo Tagliabue, Bingqing Yu, Federico Bianchi
2020	Theoretical Modeling of the Iterative Properties of User Discovery in a Collaborative Filtering Recommender System. Sami Khenissi, Mariem Boujelbene, Olfa Nasraoui
2020	Towards Multi-Language Recipe Personalisation and Recommendation. Niall Twomey, Mikhail Fain, Andrey Ponikar, Nadine Sarraf
2020	Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World. Gourab K. Patro, Abhijnan Chakraborty, Ashmi Banerjee, Niloy Ganguly
2020	Tuning Word2vec for Large Scale Recommendation Systems. Benjamin Paul Chamberlain, Emanuele Rossi, Dan Shiebler, Suvash Sedhain, Michael M. Bronstein
2020	Tutorial on Conversational Recommendation Systems. Zuohui Fu, Yikun Xian, Yongfeng Zhang, Yi Zhang
2020	Tutorial: Feature Engineering for Recommender Systems. Benedikt Schifferer, Chris Deotte, Even Oldridge
2020	Unbiased Ad Click Prediction for Position-aware Advertising Systems. Bo-Wen Yuan, Yaxu Liu, Jui-Yang Hsia, Zhenhua Dong, Chih-Jen Lin
2020	Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning. Ziwei Zhu, Yun He, Yin Zhang, James Caverlee
2020	Unbiased Learning for the Causal Effect of Recommendation. Masahiro Sato, Sho Takemori, Janmajay Singh, Tomoko Ohkuma
2020	Using conceptual incongruity as a basis for making recommendations. Tushar Shandhilya, Nisheeth Srivastava
2020	VMI-PSL: Visual Model Inspector for Probabilistic Soft Logic. Aaron Rodden, Tarun Salh, Eriq Augustine, Lise Getoor
2020	What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation. Gustavo Penha, Claudia Hauff
2020	Workshop on Context-Aware Recommender Systems. Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
2020	Workshop on Online Misinformation- and Harm-Aware Recommender Systems. Antonela Tommasel, Daniela Godoy, Arkaitz Zubiaga