recsys | ACM Conference on Recommender Systems (RecSys)

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Proceedings of the Eleventh ACM Conference on Recommender Systems, RecSys 2017, Como, Italy, August 27-31, 2017.
Recommender Systems and the New New Economics of Information.

George Loewenstein

Improving Higher Education: Learning Analytics & Recommender Systems Research.

George Karypis

Personalization is a Two-Way Street.

Ronny Lempel

Memory Networks for Recommendation.

Jason Weston

Learning to Rank with Trust and Distrust in Recommender Systems.

Dimitrios Rafailidis, Fabio Crestani

Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms.

Tiago Cunha, Carlos Soares, André C. P. L. F. Carvalho

A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation.

Yue Ning, Yue Shi, Liangjie Hong, Huzefa Rangwala, Naren Ramakrishnan

entity2rec: Learning User-Item Relatedness from Knowledge Graphs for Top-N Item Recommendation.

Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy

On Parallelizing SGD for Pairwise Learning to Rank in Collaborative Filtering Recommender Systems.

A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen

Controlling Popularity Bias in Learning-to-Rank Recommendation.

Himan Abdollahpouri, Robin Burke, Bamshad Mobasher

Educational Question Routing in Online Student Communities.

Jakub Macina, Ivan Srba, Joseph Jay Williams, Mária Bieliková

The Magic Barrier Revisited: Accessing Natural Limitations of Recommender Assessment.

Kevin Jasberg, Sergej Sizov

Effective User Interface Designs to Increase Energy-efficient Behavior in a Rasch-based Energy Recommender System.

Alain Starke, Martijn C. Willemsen, Chris Snijders

Evaluating Decision-Aware Recommender Systems.

Rus M. Mesas, Alejandro Bellogín

Using Explainability for Constrained Matrix Factorization.

Behnoush Abdollahi, Olfa Nasraoui

User Preferences for Hybrid Explanations.

Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor

Secure Multi-Party Protocols for Item-Based Collaborative Filtering.

Erez Shmueli, Tamir Tassa

Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations.

Xiaoying Zhang, Junzhou Zhao, John C. S. Lui

Fairness-Aware Group Recommendation with Pareto-Efficiency.

Xiao Lin, Min Zhang, Yongfeng Zhang, Zhaoquan Gu, Yiqun Liu, Shaoping Ma

A Novel Recommender System for Helping Marathoners to Achieve a New Personal-Best.

Barry Smyth, Pádraig Cunningham

Recommending Personalized News in Short User Sessions.

Elena Viorica Epure, Benjamin Kille, Jon Espen Ingvaldsen, Rébecca Deneckère, Camille Salinesi, Sahin Albayrak

Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks.

Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, Paolo Cremonesi

3D Convolutional Networks for Session-based Recommendation with Content Features.

Trinh Xuan Tuan, Tu Minh Phuong

Modeling User Session and Intent with an Attention-based Encoder-Decoder Architecture.

Pablo Loyola, Chen Liu, Yu Hirate

Sequential User-based Recurrent Neural Network Recommendations.

Tim Donkers, Benedikt Loepp, Jürgen Ziegler

Translation-based Recommendation.

Ruining He, Wang-Cheng Kang, Julian McAuley

MPR: Multi-Objective Pairwise Ranking.

Rasaq Otunba, Raimi A. Rufai, Jessica Lin

An Elementary View on Factorization Machines.

Sebastian Prillo

Expediting Exploration by Attribute-to-Feature Mapping for Cold-Start Recommendations.

Deborah Cohen, Michal Aharon, Yair Koren, Oren Somekh, Raz Nissim

Additive Co-Clustering with Social Influence for Recommendation.

Xixi Du, Huafeng Liu, Liping Jing

Folding: Why Good Models Sometimes Make Spurious Recommendations.

Doris Xin, Nicolas Mayoraz, Hubert Pham, Karthik Lakshmanan, John R. Anderson

Chemical Reactant Recommendation Using a Network of Organic Chemistry.

John Savage, Akihiro Kishimoto, Beat Buesser, Ernesto Diaz-Aviles, Carlos Alzate

Fewer Flops at the Top: Accuracy, Diversity, and Regularization in Two-Class Collaborative Filtering.

Bibek Paudel, Thilo Haas, Abraham Bernstein

Geographical Diversification in POI Recommendation: Toward Improved Coverage on Interested Areas.

Jungkyu Han, Hayato Yamana

Understanding How People Use Natural Language to Ask for Recommendations.

Jie Kang, Kyle Condiff, Shuo Chang, Joseph A. Konstan, Loren G. Terveen, F. Maxwell Harper

Defining and Supporting Narrative-driven Recommendation.

Toine Bogers, Marijn Koolen

Recommending Product Sizes to Customers.

Vivek Sembium, Rajeev Rastogi, Atul Saroop, Srujana Merugu

Practical Lessons from Developing a Large-Scale Recommender System at Zalando.

Antonino Freno

Exploiting Socio-Economic Models for Lodging Recommendation in the Sharing Economy.

Raul Sanchez-Vazquez, Jordan Silva, Rodrygo L. T. Santos

Surveying User Reactions to Recommendations Based on Inferences Made by Face Detection Technology.

Jennifer Marlow, Jason Wiese

An Insurance Recommendation System Using Bayesian Networks.

Maleeha Qazi, Glenn M. Fung, Katie J. Meissner, Eduardo R. Fontes

Getting Deep Recommenders Fit: Bloom Embeddings for Sparse Binary Input/Output Networks.

Joan Serrà, Alexandros Karatzoglou

TransNets: Learning to Transform for Recommendation.

Rose Catherine, William W. Cohen

Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction.

Sungyong Seo, Jing Huang, Hao Yang, Yan Liu

When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation.

Dietmar Jannach, Malte Ludewig

Recommendation of High Quality Representative Reviews in e-commerce.

Debanjan Paul, Sudeshna Sarkar, Muthusamy Chelliah, Chetan Kalyan, Prajit Prashant Sinai Nadkarni

A Semantic-Aware Profile Updating Model for Text Recommendation.

Hossein Rahmatizadeh Zagheli, Hamed Zamani, Azadeh Shakery

A Multi-criteria Recommender System Exploiting Aspect-based Sentiment Analysis of Users' Reviews.

Cataldo Musto, Marco de Gemmis, Giovanni Semeraro, Pasquale Lops

Exploring the Semantic Gap for Movie Recommendations.

Mehdi Elahi, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Leonardo Cella, Stefano Cereda, Paolo Cremonesi

Dynamic Scholarly Collaborator Recommendation via Competitive Multi-Agent Reinforcement Learning.

Yang Zhang, Chenwei Zhang, Xiaozhong Liu

Rethinking Collaborative Filtering: A Practical Perspective on State-of-the-art Research Based on Real World Insights.

Noam Koenigstein

Recommendation Applications and Systems at Electronic Arts.

Meng Wu, John Kolen, Navid Aghdaie, Kazi A. Zaman

Search Ranking And Personalization at Airbnb.

Mihajlo Grbovic

Bootstrapping a Destination Recommender System.

Neal Lathia

Déjà Vu: The Importance of Time and Causality in Recommender Systems.

Justin Basilico, Yves Raimond

Building Recommender Systems for Fashion: Industry Talk Abstract.

Nick Landia

Boosting Recommender Systems with Deep Learning.

João Gomes

Personalization challenges in e-Learning.

Roberto Turrin

Personalized Job Recommendation System at LinkedIn: Practical Challenges and Lessons Learned.

Krishnaram Kenthapadi, Benjamin Le, Ganesh Venkataraman

Online Learning to Rank for Recommender Systems.

Daan Odijk, Anne Schuth

Bandit Algorithms for e-Commerce Recommender Systems: Extended Abstract.

Björn Brodén, Mikael Hammar, Bengt J. Nilsson, Dimitris Paraschakis

You are what apps you use: Transfer Learning for Personalized Content and Ad Recommendation.

Zhixian Yan, Lai Wei, Yunshan Lu, Zhongqiang Wu, Bo Tao

CheckInShop.eu: A Sensor-based Recommender System for micro-location Marketing.

Panagiotis Symeonidis, Stergios Chairistanidis

A Research Tool for User Preferences Elicitation with Facial Expressions.

Marko Tkalcic, Nima Maleki, Matevz Pesek, Mehdi Elahi, Francesco Ricci, Matija Marolt

Data-Driven Repricing Strategies in Competitive Markets: An Interactive Simulation Platform.

Martin Boissier, Rainer Schlosser, Nikolai Podlesny, Sebastian Serth, Marvin Bornstein, Johanna Latt, Jan Lindemann, Jan Selke, Matthias Uflacker

Pokedem: an Automatic Social Media Management Application.

Francesco Corcoglioniti, Claudio Giuliano, Yaroslav Nechaev, Roberto Zanoli

Citolytics: A Link-based Recommender System for Wikipedia.

Malte Schwarzer, Corinna Breitinger, Moritz Schubotz, Norman Meuschke, Bela Gipp

Visual Analysis of Recommendation Performance.

Ludovik Çoba, Panagiotis Symeonidis, Markus Zanker

PathRec: Visual Analysis of Travel Route Recommendations.

Dawei Chen, Dongwoo Kim, Lexing Xie, Minjeong Shin, Aditya Krishna Menon, Cheng Soon Ong, Iman Avazpour, John Grundy

The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning: (RecSysKTL).

Yong Zheng, Weike Pan, Shaghayegh (Sherry) Sahebi, Ignacio Fernández

The 1st International Workshop on Temporal Reasoning in Recommender Systems.

Mária Bieliková, Veronika Bogina, Tsvi Kuflik, Roy Sasson

DLRS 2017: Second Workshop on Deep Learning for Recommender Systems.

Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk

RecSys Challenge 2017: Offline and Online Evaluation.

Fabian Abel, Yashar Deldjoo, Mehdi Elahi, Daniel Kohlsdorf

Second Workshop on Health Recommender Systems: (HealthRecSys 2017).

David Elsweiler, Santiago Hors-Fraile, Bernd Ludwig, Alan Said, Hanna Schäfer, Christoph Trattner, Helma Torkamaan, André Calero Valdez

KidRec: Children & Recommender Systems: Workshop Co-located with ACM Conference on Recommender Systems (RecSys 2017).

Jerry Alan Fails, Maria Soledad Pera, Franca Garzotto, Mirko Gelsomini

VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation.

Robin Burke, Gediminas Adomavicius, Ido Guy, Jan Krasnodebski, Luiz Augusto Pizzato, Yi Zhang, Himan Abdollahpouri

Workshop on Recommendation in Complex Scenarios: (ComplexRec 2017).

Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin

FATREC Workshop on Responsible Recommendation.

Michael D. Ekstrand, Amit Sharma

RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems.

Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, John O'Donovan, Nava Tintarev, Martijn C. Willemsen

RecTour 2017: Workshop on Recommenders in Tourism.

Julia Neidhardt, Daniel R. Fesenmaier, Tsvi Kuflik, Wolfgang Wörndl

CitRec 2017: International Workshop on Recommender Systems for Citizens.

Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang, Martha Larson

LSRS'17: Workshop on Large-Scale Recommender Systems.

Tao Ye, Denis Parra, Vito Ostuni, Tao Wang

New Paths in Music Recommender Systems Research.

Markus Schedl, Peter Knees, Fabien Gouyon

Privacy for Recommender Systems: Tutorial Abstract.

Bart P. Knijnenburg, Shlomo Berkovsky

Deep Learning for Recommender Systems.

Alexandros Karatzoglou, Balázs Hidasi

Product Recommendations Enhanced with Reviews.

Muthusamy Chelliah, Sudeshna Sarkar

Tutorial on Open Source Online Learning Recommenders.

Róbert Pálovics, Domokos Kelen, András A. Benczúr

Recommending a Sequence of Points of Interest to a Group of Users in a Mobile Context.

Daniel Herzog

Deep Cross-Domain Fashion Recommendation.

Shatha Jaradat

Online Recommender System for Personalized Nutrition Advice.

Rodrigo Zenun Franco

Improving Similarity Measures Using Ontological Data.

Özge Sürer

Improving the Trustworthiness of Recommendations in Collaborative Filtering under the Belief Function Framework.

Raoua Abdelkhalek

Unsupervised Context-Driven Recommendations Based On User Reviews.

Francisco J. Peña

The Exploration-Exploitation Trade-off in Interactive Recommender Systems.

Andrea Barraza-Urbina

User Preferences Analysis Using Visual Stimuli.

Peter Gaspar

Constructive Recommendation.

Paolo Dragone