推荐系统领域顶会RecSys 2018接受论文列表

【导读】一年一度的推荐系统领域顶会ACM RecSys2018将在10月2日到7日的加拿大渥太华举行，最近官网公布了今年的论文接受列表，可供感兴趣的同学一看。

地址：

https://recsys.acm.org/recsys18/accepted-contributions/

Adaptive Collaborative Topic Modeling for Online Recommendation by Marie Al-Ghossein, Pierre-Alexandre Murena, Talel Abdessalem, Anthony Barré, Antoine Cornuéjols

LCalibrated Recommendations by Harald Steck

LPCategorical-Attributes-Based Item Classification for Recommender Systems by Qian Zhao, Jilin Chen, Minmin Chen, Sagar Jain, Alex Beutel, Francois Belletti, Ed Chi

LPCausal Embeddings for Recommendation by Stephen Bonner, Flavian Vaslie

LPComfRide: A Smartphone based System for Comfortable Public Transport Recommendation by Rohit Verma, Surjya Ghosh, Saketh Mahankali, Niloy Ganguly, Bivas Mitra, Sandip Chakraborty

LPDeep Reinforcement Learning for Page-wise Recommendations by Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang

LPEffects of Personal Characteristics on the Music Recommender with Different Controllability by Yucheng Jin, Nava Tintarev, Katrien Verbert

LPEliciting Pairwise Preferences in Recommender Systems by Saikishore Kalloori, Francesco Ricci, Rosella Gennari

LPEnhancing Structural Diversity in Social Networks by Recommending Weak Ties by Javier Sanz-Cruzado, Pablo Castells

LPExplore, Exploit, and Explain: Personalizing Explainable Recommendations with Bandits by James McInerney, Benjamin Lacker, Samantha Hansen, Karl Higley, Hugues Bouchard, Alois Gruson, Rishabh Mehrotra

LPExploring Author Gender in Book Rating and Recommendation by Michael D. Ekstrand, Mucun Tian, Mohammed Imran R. Kazi, Hoda Mehrpouyan, Daniel Kluver

LPGeneration Meets Recommendation: Proposing Novel Items for Groups of Users by Thanh Vinh Vo, Harold Soh

LPGet Me The Best: Get Me The Best: Predicting Best Answerers in Community Question Answering sites by Rohan Ravindra Tondulkar, Manisha Dubey, Maunendra Sankar Desarkar

LPHow Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility by Allison Chaney, Brandon Stewart, Barbara Engelhardt

LPItem Recommendation on Monotonic Behavior Chains by Mengting Wan, Julian McAuley

LPInteractive Recommendation via Deep Neural Memory Augmented Contextual Bandits by Yilin Shen, Yue Deng, Avik Ray, Hongxia Jin

LPInterpreting User Inaction in Recommender Systems by Qian Zhao, Martijn Willemsen, Gediminas Adomavicius, F. Maxwell Harper, Joseph A. Konstan

LPJudging Similarity: A User-Centric Study of Related Item Recommendations by Yuan Yao, F. Maxwell Harper

LPMultistakeholder Recommendation with Provider Constraints by Ozge Surer, Robin Burke, Edward C. Malthouse

LPNeural Gaussian Mixture Model for Review-based Rating Prediction by Dong Deng, Liping Jing, Jian Yu, Sun Shaolong, Haofei Zhou

LPNo More Ready-made Deals: Constructive Recommendation for Telco Service Bundling by Paolo Dragone, Giovanni Pellegrini, Michele Vescovi, Katya Tentori, Andrea Passerini

LPOn the Robustness and Discriminative Power of IR Metrics for Top-N Recommendation by Daniel Valcarce, Alejandro Bellogin, Javier Parapar, Pablo Castells

LPOptimally Balancing Receiver and Recommended Users’ Importance in Reciprocal Recommender Systems by Akiva Kleinerman, Rosenfeld Ariel, Francesco Ricci, Sarit Kraus

LPPreference Elicitation as an Optimization Problem by Anna Sepliarskaia, Julia Kiseleva, Filip Radlinski, Maarten de Rijke

LPProviding Explanations for Recommendations in Reciprocal Environments by Akiva Kleinerman, Rosenfeld Ariel, Sarit Kraus

LPQuality-Aware Neural Complementary Item Recommendation by Yin Zhang, Haokai Lu, Wei Niu, James Caverlee

LPRecurrent Knowledge Graph Embedding for Effective Recommendation by Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon, LongKai Huang, Chi Xu

LPSpectral Collaborative Filtering by Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip Yu

LPThe Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games by Zhengxing Chen, Truong-Huy D. Nguyen, Yuyu Xu, Chris Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr

LPTranslation-based Factorization Machines for Sequential Recommendation by Rajiv Pasricha, Julian McAuley

LPUnbiased Offline Recommender Evaluation for Missing-Not-At-Random Implicit Feedback by Longqi Yang, Yin Cui, Yuan Xuan, Chenyang Wang, Serge Belongie, Deborah Estrin

LPWhy I like it: Multi-task Learning for Recommendation and Explanation by Yichao Lu, Ruihai Dong, Barry Smyth

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