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RECSYS2016 Paper List

论文 作者 组织 摘要 翻译 代码 引用数
Deep Neural Networks for YouTube Recommendations Paul Covington, Jay Adams, Emre Sargin code 1273
Convolutional Matrix Factorization for Document Context-Aware Recommendation Dong Hyun Kim, Chanyoung Park, Jinoh Oh, Sungyoung Lee, Hwanjo Yu code 404
Field-aware Factorization Machines for CTR Prediction YuChin Juan, Yong Zhuang, WeiSheng Chin, ChihJen Lin code 374
Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations Balázs Hidasi, Massimo Quadrana, Alexandros Karatzoglou, Domonkos Tikk code 255
Ask the GRU: Multi-task Learning for Deep Text Recommendations Trapit Bansal, David Belanger, Andrew McCallum code 154
Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence Dawen Liang, Jaan Altosaar, Laurent Charlin, David M. Blei code 140
Meta-Prod2Vec: Product Embeddings Using Side-Information for Recommendation Flavian Vasile, Elena Smirnova, Alexis Conneau code 113
Recommendations with a Purpose Dietmar Jannach, Gediminas Adomavicius code 79
Personalized Recommendations using Knowledge Graphs: A Probabilistic Logic Programming Approach Rose Catherine, William W. Cohen code 77
Bayesian Personalized Ranking with Multi-Channel User Feedback Babak Loni, Roberto Pagano, Martha A. Larson, Alan Hanjalic code 73
Local Item-Item Models For Top-N Recommendation Evangelia Christakopoulou, George Karypis code 62
Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation Ruining He, Chen Fang, Zhaowen Wang, Julian J. McAuley code 56
Crowd-Based Personalized Natural Language Explanations for Recommendations Shuo Chang, F. Maxwell Harper, Loren Gilbert Terveen code 52
Modelling Contextual Information in Session-Aware Recommender Systems with Neural Networks Bartlomiej Twardowski code 51
Domain-Aware Grade Prediction and Top-n Course Recommendation Asmaa Elbadrawy, George Karypis code 50
A Coverage-Based Approach to Recommendation Diversity On Similarity Graph Shameem Puthiya Parambath, Nicolas Usunier, Yves Grandvalet code 43
Recommender Systems for Self-Actualization Bart P. Knijnenburg, Saadhika Sivakumar, Daricia Wilkinson code 42
ExpLOD: A Framework for Explaining Recommendations based on the Linked Open Data Cloud Cataldo Musto, Fedelucio Narducci, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro code 40
Contrasting Offline and Online Results when Evaluating Recommendation Algorithms Marco Rossetti, Fabio Stella, Markus Zanker code 39
Behaviorism is Not Enough: Better Recommendations through Listening to Users Michael D. Ekstrand, Martijn C. Willemsen code 38
Recommending New Items to Ephemeral Groups Using Contextual User Influence Elisa Quintarelli, Emanuele Rabosio, Letizia Tanca code 36
Latent Factor Representations for Cold-Start Video Recommendation Sujoy Roy, Sharath Chandra Guntuku code 32
Gaze Prediction for Recommender Systems Qian Zhao, Shuo Chang, F. Maxwell Harper, Joseph A. Konstan code 32
MAPS: A Multi Aspect Personalized POI Recommender System Ramesh Baral, Tao Li code 28
Mood-Sensitive Truth Discovery For Reliable Recommendation Systems in Social Sensing Jermaine Marshall, Dong Wang code 28
Music Personalization at Spotify Kurt Jacobson, Vidhya Murali, Edward Newett, Brian Whitman, Romain Yon code 28
Past, Present, and Future of Recommender Systems: An Industry Perspective Xavier Amatriain, Justin Basilico code 27
Query-based Music Recommendations via Preference Embedding ChihMing Chen, MingFeng Tsai, YuChing Lin, YiHsuan Yang code 26
Addressing Cold Start for Next-song Recommendation SzuYu Chou, YiHsuan Yang, JyhShing Roger Jang, YuChing Lin code 26
Adaptive, Personalized Diversity for Visual Discovery Choon Hui Teo, Houssam Nassif, Daniel N. Hill, Sriram Srinivasan, Mitchell Goodman, Vijai Mohan, S. V. N. Vishwanathan code 26
TAPER: A Contextual Tensor-Based Approach for Personalized Expert Recommendation Hancheng Ge, James Caverlee, Haokai Lu code 25
HCI for Recommender Systems: the Past, the Present and the Future André Calero Valdez, Martina Ziefle, Katrien Verbert code 24
A Package Recommendation Framework for Trip Planning Activities Idir Benouaret, Dominique Lenne code 24
Observing Group Decision Making Processes Amra Delic, Julia Neidhardt, Thuy Ngoc Nguyen, Francesco Ricci, Laurens Rook, Hannes Werthner, Markus Zanker code 24
Are You Influenced by Others When Rating?: Improve Rating Prediction by Conformity Modeling Yiming Liu, Xuezhi Cao, Yong Yu code 24
STAR: Semiring Trust Inference for Trust-Aware Social Recommenders Peixin Gao, Hui Miao, John S. Baras, Jennifer Golbeck code 22
Optimizing Similar Item Recommendations in a Semi-structured Marketplace to Maximize Conversion Yuri M. Brovman, Marie Jacob, Natraj Srinivasan, Stephen Neola, Daniel A. Galron, Ryan Snyder, Paul Wang code 20
Exploring the Value of Personality in Predicting Rating Behaviors: A Study of Category Preferences on MovieLens Raghav Pavan Karumur, Tien T. Nguyen, Joseph A. Konstan code 20
RecSys Challenge 2016: Job Recommendations Fabian Abel, András A. Benczúr, Daniel Kohlsdorf, Martha A. Larson, Róbert Pálovics code 20
Pairwise Preferences Based Matrix Factorization and Nearest Neighbor Recommendation Techniques Saikishore Kalloori, Francesco Ricci, Marko Tkalcic code 19
Matrix and Tensor Decomposition in Recommender Systems Panagiotis Symeonidis code 19
The Value of Online Customer Reviews Georgios Askalidis, Edward C. Malthouse code 19
Recommender Systems with Personality Amos Azaria, Jason I. Hong code 17
Accuracy and Diversity in Cross-domain Recommendations for Cold-start Users with Positive-only Feedback Ignacio FernándezTobías, Paolo Tomeo, Iván Cantador, Tommaso Di Noia, Eugenio Di Sciascio code 16
The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems Roberto Pagano, Paolo Cremonesi, Martha A. Larson, Balázs Hidasi, Domonkos Tikk, Alexandros Karatzoglou, Massimo Quadrana code 15
Bayesian Low-Rank Determinantal Point Processes Mike Gartrell, Ulrich Paquet, Noam Koenigstein code 14
Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang code 14
Intent-Aware Diversification Using a Constrained PLSA Jacek Wasilewski, Neil Hurley code 14
Using Navigation to Improve Recommendations in Real-Time ChaoYuan Wu, Christopher V. Alvino, Alexander J. Smola, Justin Basilico code 13
Recommending the World's Knowledge: Application of Recommender Systems at Quora Lei Yang, Xavier Amatriain code 13
Conversational Recommendation System with Unsupervised Learning Yueming Sun, Yi Zhang, Yunfei Chen, Roger Jin code 12
Recommender Systems from an Industrial and Ethical Perspective Dimitris Paraschakis code 12
Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks Evgeny Frolov, Ivan V. Oseledets code 10
Human-Recommender Systems: From Benchmark Data to Benchmark Cognitive Models Patrick Shafto, Olfa Nasraoui code 10
Efficient Bayesian Methods for Graph-based Recommendation Ramon Lopes, Renato M. Assunção, Rodrygo L. T. Santos code 9
Guided Walk: A Scalable Recommendation Algorithm for Complex Heterogeneous Social Networks Roy Levin, Hassan Abassi, Uzi Cohen code 8
Engendering Health with Recommender Systems David Elsweiler, Bernd Ludwig, Alan Said, Hanna Schäfer, Christoph Trattner code 8
Joint User Modeling across Aligned Heterogeneous Sites Xuezhi Cao, Yong Yu code 8
Group Recommender Systems Ludovico Boratto code 7
Mendeley: Recommendations for Researchers Saúl Vargas, Maya Hristakeva, Kris Jack code 6
Tutorial: Lessons Learned from Building Real-life Recommender Systems Xavier Amatriain, Deepak Agarwal code 6
Representation Learning for Homophilic Preferences Trong T. Nguyen, Hady Wirawan Lauw code 6
Personalization for Google Now: User Understanding and Application to Information Recommendation and Exploration Shashi Thakur code 5
Multi-Word Generative Query Recommendation Using Topic Modeling Matthew Mitsui, Chirag Shah code 5
Gray Sheep, Influential Users, User Modeling and Recommender System Adoption by Startups Abhishek Srivastava code 5
Considering Supplier Relations and Monetization in Designing Recommendation Systems Jan Krasnodebski, John Dines code 5
Personalized Support for Healthy Nutrition Decisions Hanna Schäfer code 5
Asynchronous Distributed Matrix Factorization with Similar User and Item Based Regularization Bikash Joshi, Franck Iutzeler, MassihReza Amini code 5
Mechanism Design for Personalized Recommender Systems Qingpeng Cai, Aris FilosRatsikas, Chang Liu, Pingzhong Tang code 4
Algorithms Aside: Recommendation As The Lens Of Life Tamas Motajcsek, JeanYves Le Moine, Martha A. Larson, Daniel Kohlsdorf, Andreas Lommatzsch, Domonkos Tikk, Omar Alonso, Paolo Cremonesi, Andrew M. Demetriou, Kristaps Dobrajs, Franca Garzotto, Ayse Göker, Frank Hopfgartner, Davide Malagoli, Thuy Ngoc Nguyen, Jasminko Novak, Francesco Ricci, Mario Scriminaci, Marko Tkalcic, Anna Zacchi code 4
People Recommendation Tutorial Ido Guy, Luiz Augusto Pizzato code 4
A Scalable Approach for Periodical Personalized Recommendations Zhen Qin, Ish Rishabh, John Carnahan code 3
Item-to-item Recommendations at Pinterest Stephanie Kaye Rogers code 3
Recommending Repeat Purchases using Product Segment Statistics Suvodip Dey, Pabitra Mitra, Kratika Gupta code 3
News Recommendations at scale at Bloomberg Media: Challenges and Approaches Dhaval Shah, Pramod Koneru, Parth Shah, Rohit Parimi code 3
Increasing the Trustworthiness of Recommendations by Exploiting Social Media Sources CatalinMihai Barbu code 3
Generating Pseudotransactions for Improving Sparse Matrix Factorization Agung Toto Wibowo code 3
The Exploit-Explore Dilemma in Music Recommendation Òscar Celma code 2
RecExp: A Semantic Recommender System with Explanation Based on Heterogeneous Information Network Jiawei Hu, Zhiqiang Zhang, Jian Liu, Chuan Shi, Philip S. Yu, Bai Wang code 2
Getting the Timing Right: Leveraging Category Inter-purchase Times to Improve Recommender Systems Denis Vuckovac, Julia Wamsler, Alexander Ilic, Martin Natter code 2
Leveraging a Graph-Powered, Real-Time Recommendation Engine to Create Rapid Business Value Adam Anthony, YuKeng Shih, Ruoming Jin, Yang Xiang code 2
Mining Information for the Cold-Item Problem Fatemeh Pourgholamali code 2
When Recommendation Systems Go Bad Evan Estola code 1
Recommending for the World Justin Basilico, Yves Raimond code 1
Marsbot: Building a Personal Assistant Max Sklar code 1
Context-Based IDE Command Recommender System Marko Gasparic code 1
Proactive Recommendation Delivery Adem Sabic code 1
Powering Content Discovery through Scalable, Realtime Profiling of Users' Content Preferences Ido Tamir, Roy Bass, Guy Kobrinsky, Baruch Brutman, Ronny Lempel, Yoram Dayagi code 1
Discovering What You're Known For: A Contextual Poisson Factorization Approach Haokai Lu, James Caverlee, Wei Niu code 1
Multi-corpus Personalized Recommendations on Google Play Levent Koc, Cyrus Master code 0
Topical Semantic Recommendations for Auteur Films Christian Rakow, Andreas Lommatzsch, Till Plumbaum code 0
T-RecS: A Framework for a Temporal Semantic Analysis of the ACM Recommender Systems Conference Fedelucio Narducci, Pierpaolo Basile, Pasquale Lops, Marco de Gemmis, Giovanni Semeraro code 0
Feature Selection For Human Recommenders Katherine A. Livins code 0
A Recommender System to tackle Enterprise Collaboration Gabriel de Souza Pereira Moreira, Gilmar Alves de Souza code 0
Automated Machine Learning in the Wild Claudia Perlich code 0
A Cross-Industry Machine Learning Framework with Explicit Representations Denise Ichinco, Sahil Zubair, Jana Eggers, Nathan Wilson code 0
Hypothesis Testing: How to Eliminate Ideas as Soon as Possible Roman Zykov code 0