RECSYS2020

会议论文列表

本会议共有 122 篇论文

序号	标题	链接	推荐理由	推荐度	摘要	作者	组织
1		Contextual and Sequential User Embeddings for Large-Scale Music Recommendation		0		Brian Brost, Casper Hansen, Christian Hansen, Federico Tomasi, Lucas Maystre, Mounia Lalmas, Rishabh Mehrotra
2		Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions		0		Yuta Saito
3		Adaptive Pointwise-Pairwise Learning-to-Rank for Content-based Personalized Recommendation		0		JeanMichel Renders, Yagmur Gizem Cinar
4		A Ranking Optimization Approach to Latent Linear Critiquing for Conversational Recommender Systems		0		Ga Wu, Hanze Li, Kai Luo, Scott Sanner
5		Ensuring Fairness in Group Recommendations by Rank-Sensitive Balancing of Relevance		0		Derek G. Bridge, Mesut Kaya, Nava Tintarev
6		Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations		0		Hongyan Tang, Junning Liu, Ming Zhao, Xudong Gong
7		SSE-PT: Sequential Recommendation Via Personalized Transformer		0		ChoJui Hsieh, James Sharpnack, Liwei Wu, Shuqing Li
8		MEANTIME: Mixture of Attention Mechanisms with Multi-temporal Embeddings for Sequential Recommendation		0		Eunhyeok Park, Sung Min Cho, Sungjoo Yoo
9		Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity		0		Chang Li, Haoyun Feng, Maarten de Rijke
10		Deep Bayesian Bandits: Exploring in Online Personalized Recommendations		0		Alykhan Tejani, Dalin Guo, Ferenc Huszar, Michael Kneier, Pranay Kumar Myana, Sofia Ira Ktena, Sourav Das, Wenzhe Shi
11		FISSA: Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation		0		Jing Lin, Weike Pan, Zhong Ming
12		ClusterExplorer: Enable User Control over Related Recommendations via Collaborative Filtering and Clustering		0		Denis Kotkov, Kati Launis, Mats Neovius, Qian Zhao
13		Bias in Search and Recommender Systems		0		Ricardo BaezaYates
14		PURS: Personalized Unexpected Recommender System for Improving User Satisfaction		0		Alexander Tuzhilin, Maofei Que, Pan Li, Yao Hu, Zhichao Jiang
15		Theoretical Modeling of the Iterative Properties of User Discovery in a Collaborative Filtering Recommender System		0		Mariem Boujelbene, Olfa Nasraoui, Sami Khenissi
16		Personality Bias of Music Recommendation Algorithms		0		Alessandro B. Melchiorre, Eva Zangerle, Markus Schedl
17		Query as Context for Item-to-Item Recommendation		0		Amey Barapatre, Moumita Bhattacharya
18		Context-aware Graph Embedding for Session-based News Recommendation		0		HengShiou Sheu, Sheng Li
19		Counteracting Bias and Increasing Fairness in Search and Recommender Systems		0		Chirag Shah, Ruoyuan Gao
20		Content-Collaborative Disentanglement Representation Learning for Enhanced Recommendation		0		James Caverlee, Yin Zhang, Yun He, Ziwei Zhu
21		Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation		0		Bo An, Haikai Chen, Qingyu Guo, Xin Li, Xu He, Yanghua Li, Zhirong Wang
22		What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation		0		Claudia Hauff, Gustavo Penha
23		Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering		0		Avi Caciularu, Noam Koenigstein, Oren Barkan, Yonatan Fuchs
24		History-Augmented Collaborative Filtering for Financial Recommendations		0		Baptiste Barreau, Laurent Carlier
25		Improving One-class Recommendation with Multi-tasking on Various Preference Intensities		0		ChuJen Shao, HaoMing Fu, PuJen Cheng
26		Fit to Run: Personalised Recommendations for Marathon Training		0		Aonghus Lawlor, Barry Smyth, Jakim Berndsen
27		Developing Recommendation System to provide a Personalized Learning experience at Chegg		0		Sanghamitra Deb
28		Do Channels Matter? Illuminating Interpersonal Influence on Music Recommendations		0		Hyun Jeong Kim, Kyogu Lee, Minju Park, So Yeon Park
29		Towards Multi-Language Recipe Personalisation and Recommendation		0		Andrey Ponikar, Mikhail Fain, Nadine Sarraf, Niall Twomey
30		Tutorial on Conversational Recommendation Systems		0		Yi Zhang, Yikun Xian, Yongfeng Zhang, Zuohui Fu
31		Conversational Agents for Recommender Systems		0		Andrea Iovine
32		Exploring Clustering of Bandits for Online Recommendation System		0		Bo Liu, Feng Xia, Kai Chen, Leyu Lin, Liu Yang, Qiang Yang
33		From the lab to production: A case study of session-based recommendations in the home-improvement domain		0		Edo Liberty, Ilias Fountalis, Khalifeh Al Jadda, Nikolaos Vasiloglou, Pigi Kouki, Xiquan Cui
34		Debiasing Item-to-Item Recommendations With Small Annotated Datasets		0		Paul N. Bennett, Tobias Schnabel
35		On Target Item Sampling in Offline Recommender System Evaluation		0		Pablo Castells, Rocío Cañamares
36		ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation		0		Boi Faltings, Fei Mi, Xiaoyu Lin
37		Carousel Personalization in Music Streaming Apps with Contextual Bandits		0		Guillaume Salha, Théo Bontempelli, Walid Bendada
38		Exploring Longitudinal Effects of Session-based Recommendations		0		Andres Ferraro, Dietmar Jannach, Xavier Serra
39		Interpretable Contextual Team-aware Item Recommendation: Application in Multiplayer Online Battle Arena Games		0		Andrés Villa, Denis Parra, Francisca Cattan, Vladimir Araujo
40		Unbiased Implicit Recommendation and Propensity Estimation via Combinational Joint Learning		0		James Caverlee, Yin Zhang, Yun He, Ziwei Zhu
41		The Embeddings That Came in From the Cold: Improving Vectors for New and Rare Products with Content-Based Inference		0		Bingqing Yu, Federico Bianchi, Jacopo Tagliabue
42		"You Really Get Me": Conversational AI Agents That Can Truly Understand and Help Users		0		Michelle X. Zhou
43		Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems		0		Duarte Gonçalves, Guy Aridor, Shan Sikdar
44		Exploiting Performance Estimates for Augmenting Recommendation Ensembles		0		Gustavo Penha, Rodrygo L. T. Santos
45		Global and Local Differential Privacy for Collaborative Bandits		0		Abhinav Khaitan, Hongning Wang, Huazheng Wang, Qian Zhao, Qingyun Wu, Shubham Chopra
46		In-Store Augmented Reality-Enabled Product Comparison and Recommendation		0		Jesús Omar Álvarez Márquez, Jürgen Ziegler
47		Keeping Dataset Biases out of the Simulation: A Debiased Simulator for Reinforcement Learning based Recommender Systems		0		Harrie Oosterhuis, Herke van Hoof, Jin Huang, Maarten de Rijke
48		MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems		0		Ahmed Rashed, Andre Hintsches, Lars SchmidtThieme, Shayan Jawed
49		Recommendations as Graph Explorations		0		Georgia Koutrika, Marialena Kyriakidi, Yannis E. Ioannidis
50		Recommending the Video to Watch Next: An Offline and Online Evaluation at YOUTV.de		0		Andrea Janes, Andreas Unterhuber, Daniel Morandini, Dmitry Chaltsev, Ludovik Coba, Markus Zanker, Panagiotis Symeonidis, Philip Giuliani
51		Unbiased Ad Click Prediction for Position-aware Advertising Systems		0		BoWen Yuan, ChihJen Lin, JuiYang Hsia, Yaxu Liu, Zhenhua Dong
52		Unbiased Learning for the Causal Effect of Recommendation		0		Janmajay Singh, Masahiro Sato, Sho Takemori, Tomoko Ohkuma
53		Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation		0		Aonghus Lawlor, Barry Smyth, Diarmuid O'ReillyMorgan, Elias Z. Tragos, Erika Duriakova, Francisco J. Peña, Neil Hurley
54		Contextual Meta-Bandit for Recommender Systems Selection		0		Anderson Soares, Bruno Brandão, Fernando H. F. Camargo, Luckeciano C. Melo, Marlesson R. O. Santana, Renan M. Oliveira, Sandor Caetano
55		Free Lunch! Retrospective Uplift Modeling for Dynamic Promotions Recommendation within ROI Constraints		0		Dmitri Goldenberg, Javier Albert, Lucas Bernardi, Pablo Estevez
56		Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks		0		Alexander Tuzhilin, Evgeny Frolov, Ivan V. Oseledets, Leyla Mirvakhabova, Valentin Khrulkov
57		Long-tail Session-based Recommendation		0		Siyi Liu, Yujia Zheng
58		Behavior-based Popularity Ranking on Amazon Video		0		Lakshmi Ramachandran
59		Auto-Surprise: An Automated Recommender-System (AutoRecSys) Library with Tree of Parzens Estimator (TPE) Optimization		0		Joeran Beel, Rohan Anand
60		A Federated Recommender System for Online Services		0		Ben Tan, Bo Liu, Qiang Yang, Vincent W. Zheng
61		A Joint Dynamic Ranking System with DNN and Vector-based Clustering Bandit		0		Changping Peng, Jincheng Wang, Weipeng P. Yan, Xiaoxiao Xu, Yong Li, Yongjun Bao, Yu Liu
62		Exploring Data Splitting Strategies for the Evaluation of Recommendation Models		0		Craig Macdonald, Iadh Ounis, Richard McCreadie, Zaiqiao Meng
63		The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation		0		Bamshad Mobasher, Himan Abdollahpouri, Masoud Mansoury, Robin Burke
64		Introduction to Bandits in Recommender Systems		0		Andrea BarrazaUrbina, Dorota Glowacka
65		Exploratory Methods for Evaluating Recommender Systems		0		Joey De Pauw
66		Taking advantage of images and texts in recommender systems: semantics and explainability		0		Pablo PérezNúñez
67		Online Recommender system for Accessible Tourism Destinations		0		Luchiana Cezara Brodeala
68		Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison		0		Cong Geng, Di Yu, Hui Fang, Jie Yang, Jie Zhang, Xinghua Qu, Zhu Sun
69		Goal-driven Command Recommendations for Analysts		0		Abhilasha Sancheti, Bhanu Prakash Reddy Guda, Iftikhar Ahamath Burhanuddin, Rohin Garg, Samarth Aggarwal
70		Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication		0		Bo An, Haikai Chen, Rundong Wang, Runsheng Yu, Xin Li, Xinrun Wang, Xu He, Yanghua Li, Zhirong Wang
71		KRED: Knowledge-Aware Document Representation for News Recommendations		0		Danyang Liu, Guangzhong Sun, Jianxun Lian, JiunHung Chen, Shiyin Wang, Xing Xie, Ying Qiao
72		Neural Collaborative Filtering vs. Matrix Factorization Revisited		0		John R. Anderson, Li Zhang, Steffen Rendle, Walid Krichene
73		RecSeats: A Hybrid Convolutional Neural Network Choice Model for Seat Recommendations at Reserved Seating Venues		0		Daniel Aloise, Simon J. Blanchard, Théo Moins
74		Revisiting Adversarially Learned Injection Attacks Against Recommender Systems		0		Hongyi Wen, Jiaxi Tang, Ke Wang
75		TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations		0		Felipe Pérez, Jin Peng Zhou, Maksims Volkovs, Zhaoyue Cheng
76		Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World		0		Abhijnan Chakraborty, Ashmi Banerjee, Gourab K. Patro, Niloy Ganguly
77		"Who doesn't like dinosaurs?" Finding and Eliciting Richer Preferences for Recommendation		0		Gonzalo A. Ramos, Saleema Amershi, Tobias Schnabel
78		Causal Inference for Recommender Systems		0		David M. Blei, Dawen Liang, Laurent Charlin, Yixin Wang
79		Explainable Recommendation for Repeat Consumption		0		Kosetsu Tsukuda, Masataka Goto
80		Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems		0		Akshay Gupta, Alykhan Tejani, Caojin Zhang, Deepak Dilipkumar, Ferenc Huszar, Ikuhiro Ihara, Pranay Kumar Myana, Prasang Upadhyaya, Sofia Ira Ktena, Suvadip Paul, Wenzhe Shi, Yicun Liu, Yuanpu Xie
81		Providing Explainable Race-Time Predictions and Training Plan Recommendations to Marathon Runners		0		Aonghus Lawlor, Barry Smyth, Brian Caulfield, Ciara Feely
82		Using conceptual incongruity as a basis for making recommendations		0		Nisheeth Srivastava, Tushar Shandhilya
83		Reducing energy waste in households through real-time recommendations		0		Ajinkya Thakare, Akshay Anil Pagar, Akshay Jaiswal, Iraklis Varlamis, Janhavi Dahihande, Magdalini Eirinaki
84		Balancing Relevance and Discovery to Inspire Customers in the IKEA App		0		Balázs Tóth, Emil S. Jørgensen, Sandhya Sachidanandan
85		Building a reciprocal recommendation system at scale from scratch: Learnings from one of Japan's prominent dating applications		0		Nicolas K. Shinada, R. Ramanathan, Sucheendra K. Palaniappan
86		Counterfactual learning for recommender system		0		Guohao Cai, Hong Zhu, Jirong Wen, Jun Xu, Pengxiang Cheng, Xinhua Feng, Xiuqiang He, Zhenhua Dong
87		Investigating Multimodal Features for Video Recommendations at Globoplay		0		Daniele R. Souza, Felipe Ferreira, Hélio Côrtes Vieira Lopes, Igor Moura, Matheus Barbieri
88		BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems		0		Craig Macdonald, Guangtao Zeng, Iadh Ounis, Junhua Liang, Qiang Zhang, Richard McCreadie, Shangsong Liang, Siwei Liu, Xi Wang, Yaxiong Wu, Yucheng Liang, Zaiqiao Meng
89		AutoRec: An Automated Recommender System		0		Haifeng Jin, Qingquan Song, TingHsiang Wang, Xia Hu, Xiaotian Han, Zirui Liu
90		Demonstrating Principled Uncertainty Modeling for Recommender Ecosystems with RecSim NG		0		ChihWei Hsu, Christopher Colby, Craig Boutilier, Dustin Tran, Eugene Ie, Hubert Pham, Ivan Vendrov, Martin Mladenov, Nicolas Mayoraz, Vihan Jain
91		PicTouRe - A Picture-Based Tourism Recommender		0		Hannes Werthner, Julia Neidhardt, Mete Sertkan
92		Recommender-Systems.com: A Central Platform for the Recommender-System Community		0		Joeran Beel
93		Interfaces and Human Decision Making for Recommender Systems		0		Alexander Felfernig, Giovanni Semeraro, John O'Donovan, Marco de Gemmis, Martijn C. Willemsen, Pasquale Lops, Peter Brusilovsky
94		Fairness-aware Recommendation with librec-auto		0		Masoud Mansoury, Nasim Sonboli, Robin Burke, Zijun Liu
95		A College Major Recommendation System		0		Daniel D. Leeds, Gary M. Weiss, Samuel Alexander Stein, Yiwen Chen
96		Closed-Form Models for Collaborative Filtering with Side-Information		0		Bart Goethals, Jan Van Balen, Olivier Jeunen
97		DRecPy: A Python Framework for Developing Deep Learning-Based Recommenders		0		Francisco M. Couto, Fábio Colaço, Márcia Barros
98		Inferring the Causal Impact of New Track Releases on Music Recommendation Platforms through Counterfactual Predictions		0		Mounia Lalmas, Prasanta Bhattacharya, Rishabh Mehrotra
99		Learning Representations of Hierarchical Slates in Collaborative Filtering		0		Ashok Chandrashekar, Ehtsham Elahi
100		Investigating Listeners' Responses to Divergent Recommendations		0		Benjamin A. Carterette, Chirag Shah, Rishabh Mehrotra
101		Recommending in changing times		0		Amey Pandit, Gautam Shroff, Manoj Karunakaran Nambiar, Mayank Mishra, Rekha Singhal, Shashank Gupta, Shruti Kunde
102		Smart Targeting: A Relevance-driven and Configurable Targeting Framework for Advertising System		0		Changping Peng, Kui Ma, Weipeng Yan, Yafei Yao, Yong Li, Yongjun Bao, Zhiwei Fang, Zihao Zhao
103		Adversarial Learning for Recommendation: Applications for Security and Generative Tasks - Concept to Code		0		Felice Antonio Merra, Tommaso Di Noia, Vito Walter Anelli, Yashar Deldjoo
104		Tuning Word2vec for Large Scale Recommendation Systems		0		Benjamin Paul Chamberlain, Dan Shiebler, Emanuele Rossi, Michael M. Bronstein, Suvash Sedhain
105		Bayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation		0		David Rohde, Flavian Vasile, Otmane Sakhi, Sergey Ivanov
106		Characterizing and Mitigating the Impact of Data Imbalance for Stakeholders in Recommender Systems		0		Elizabeth Gómez
107		Tutorial: Feature Engineering for Recommender Systems		0		Benedikt Schifferer, Chris Deotte, Even Oldridge
108		Evolutionary Approach in Recommendation Systems for Complex Structured Objects		0		Bartolomé Ortiz Viso
109		Efficiency-Effectiveness Trade-offs in Recommendation Systems		0		Iulia Paun
110		Deconfounding User Satisfaction Estimation from Response Rate Bias		0		Chris Haulk, Daniel Li, Ed H. Chi, Emma Marriott, Konstantina Christakopoulou, Madeleine Traverse, Minmin Chen, Trevor Potter
111		REVEAL 2020: Bandit and Reinforcement Learning from User Interactions		0		Adith Swaminathan, Flavian Vasile, Maria Dimakopoulou, Olivier Koch, Thorsten Joachims, Yves Raimond
112		Investigating the Impact of Audio States & Transitions for Track Sequencing in Music Streaming Sessions		0		Aaron Ng, Rishabh Mehrotra
113		Developing Work in Confidence, Similarity Structure, and Modeling User Event Time		0		Jacob Munson
114		A Method to Anonymize Business Metrics to Publishing Implicit Feedback Datasets		0		Takanori Maehara, Yoshifumi Seki
115		Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation		0		Bethany A. Teachman, Laura E. Barnes, Lihua Cai, Mawulolo K. Ameko, Mehdi Boukhechba, Miranda L. Beltzer
116		A Human Perspective on Algorithmic Similarity		0		Faraz Farzin, Siddhi Sundar, Zachary A. Schendel
117		On the Heterogeneous Information Needs in the Job Domain: A Unified Platform for Student Career		0		David Wittenbrink, Emanuel Lacic, Markus ReiterHaas
118		"Don't Judge a Book by its Cover": Exploring Book Traits Children Favor		0		Ashlee Milton, Garrett Allen, Levesson Batista, Maria Soledad Pera, Siqi Gao, YiuKai Ng
119		4 Reasons Why Social Media Make Us Vulnerable to Manipulation		0		Filippo Menczer
120		ImRec: Learning Reciprocal Preferences Using Images		0		James Neve, Ryan McConville
121		Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction		0		Darius Afchar, Romain Hennequin
122		VMI-PSL: Visual Model Inspector for Probabilistic Soft Logic		0		Aaron Rodden, Eriq Augustine, Lise Getoor, Tarun Salh