| Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks |
Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, Paolo Cremonesi |
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code |
306 |
| Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction |
Sungyong Seo, Jing Huang, Hao Yang, Yan Liu |
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code |
208 |
| When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation |
Dietmar Jannach, Malte Ludewig |
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code |
205 |
| Translation-based Recommendation |
Ruining He, WangCheng Kang, Julian J. McAuley |
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code |
167 |
| Sequential User-based Recurrent Neural Network Recommendations |
Tim Donkers, Benedikt Loepp, Jürgen Ziegler |
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code |
160 |
| Controlling Popularity Bias in Learning-to-Rank Recommendation |
Himan Abdollahpouri, Robin Burke, Bamshad Mobasher |
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code |
142 |
| TransNets: Learning to Transform for Recommendation |
Rose Catherine, William W. Cohen |
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code |
132 |
| 3D Convolutional Networks for Session-based Recommendation with Content Features |
Trinh Xuan Tuan, Tu Minh Phuong |
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code |
95 |
| entity2rec: Learning User-Item Relatedness from Knowledge Graphs for Top-N Item Recommendation |
Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy |
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code |
78 |
| Fairness-Aware Group Recommendation with Pareto-Efficiency |
Xiao Lin, Min Zhang, Yongfeng Zhang, Zhaoquan Gu, Yiqun Liu, Shaoping Ma |
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code |
57 |
| Deep Learning for Recommender Systems |
Alexandros Karatzoglou, Balázs Hidasi |
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code |
41 |
| User Preferences for Hybrid Explanations |
Pigi Kouki, James Schaffer, Jay Pujara, John O'Donovan, Lise Getoor |
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code |
40 |
| A Multi-criteria Recommender System Exploiting Aspect-based Sentiment Analysis of Users' Reviews |
Cataldo Musto, Marco de Gemmis, Giovanni Semeraro, Pasquale Lops |
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code |
39 |
| Personalized Job Recommendation System at LinkedIn: Practical Challenges and Lessons Learned |
Krishnaram Kenthapadi, Benjamin Le, Ganesh Venkataraman |
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code |
36 |
| RecSys Challenge 2017: Offline and Online Evaluation |
Fabian Abel, Yashar Deldjoo, Mehdi Elahi, Daniel Kohlsdorf |
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code |
36 |
| Using Explainability for Constrained Matrix Factorization |
Behnoush Abdollahi, Olfa Nasraoui |
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code |
36 |
| Modeling User Session and Intent with an Attention-based Encoder-Decoder Architecture |
Pablo Loyola, Chen Liu, Yu Hirate |
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code |
35 |
| 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 |
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code |
34 |
| Learning to Rank with Trust and Distrust in Recommender Systems |
Dimitrios Rafailidis, Fabio Crestani |
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code |
30 |
| Effective User Interface Designs to Increase Energy-efficient Behavior in a Rasch-based Energy Recommender System |
Alain Starke, Martijn C. Willemsen, Chris Snijders |
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code |
30 |
| Recommending Personalized News in Short User Sessions |
Elena Viorica Epure, Benjamin Kille, Jon Espen Ingvaldsen, Rébecca Deneckère, Camille Salinesi, Sahin Albayrak |
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code |
28 |
| Exploring the Semantic Gap for Movie Recommendations |
Mehdi Elahi, Yashar Deldjoo, Farshad Bakhshandegan Moghaddam, Leonardo Cella, Stefano Cereda, Paolo Cremonesi |
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code |
28 |
| Getting Deep Recommenders Fit: Bloom Embeddings for Sparse Binary Input/Output Networks |
Joan Serrà, Alexandros Karatzoglou |
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code |
24 |
| New Paths in Music Recommender Systems Research |
Markus Schedl, Peter Knees, Fabien Gouyon |
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code |
22 |
| Recommending Product Sizes to Customers |
Vivek Sembium, Rajeev Rastogi, Atul Saroop, Srujana Merugu |
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code |
22 |
| Recommendation of High Quality Representative Reviews in e-commerce |
Debanjan Paul, Sudeshna Sarkar, Muthusamy Chelliah, Chetan Kalyan, Prajit Prashant Sinai Nadkarni |
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code |
21 |
| Deep Cross-Domain Fashion Recommendation |
Shatha Jaradat |
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code |
20 |
| A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation |
Yue Ning, Yue Shi, Liangjie Hong, Huzefa Rangwala, Naren Ramakrishnan |
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code |
15 |
| Expediting Exploration by Attribute-to-Feature Mapping for Cold-Start Recommendations |
Deborah Cohen, Michal Aharon, Yair Koren, Oren Somekh, Raz Nissim |
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code |
15 |
| Secure Multi-Party Protocols for Item-Based Collaborative Filtering |
Erez Shmueli, Tamir Tassa |
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code |
15 |
| A Novel Recommender System for Helping Marathoners to Achieve a New Personal-Best |
Barry Smyth, Pádraig Cunningham |
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code |
14 |
| Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations |
Xiaoying Zhang, Junzhou Zhao, John C. S. Lui |
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code |
14 |
| An Insurance Recommendation System Using Bayesian Networks |
Maleeha Qazi, Glenn Moo Fung, Katie J. Meissner, Eduardo R. Fontes |
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code |
14 |
| Product Recommendations Enhanced with Reviews |
Muthusamy Chelliah, Sudeshna Sarkar |
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code |
13 |
| Privacy for Recommender Systems: Tutorial Abstract |
Bart P. Knijnenburg, Shlomo Berkovsky |
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code |
13 |
| Online Recommender System for Personalized Nutrition Advice |
Rodrigo Zenun Franco |
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code |
12 |
| Geographical Diversification in POI Recommendation: Toward Improved Coverage on Interested Areas |
Jungkyu Han, Hayato Yamana |
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code |
12 |
| Practical Lessons from Developing a Large-Scale Recommender System at Zalando |
Antonino Freno |
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code |
12 |
| Defining and Supporting Narrative-driven Recommendation |
Toine Bogers, Marijn Koolen |
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code |
12 |
| Dynamic Scholarly Collaborator Recommendation via Competitive Multi-Agent Reinforcement Learning |
Yang Zhang, Chenwei Zhang, Xiaozhong Liu |
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code |
12 |
| Recommending a Sequence of Points of Interest to a Group of Users in a Mobile Context |
Daniel Herzog |
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code |
11 |
| The Magic Barrier Revisited: Accessing Natural Limitations of Recommender Assessment |
Kevin Jasberg, Sergej Sizov |
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code |
10 |
| Search Ranking And Personalization at Airbnb |
Mihajlo Grbovic |
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code |
9 |
| MPR: Multi-Objective Pairwise Ranking |
Rasaq Otunba, Raimi A. Rufai, Jessica Lin |
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code |
9 |
| A Research Tool for User Preferences Elicitation with Facial Expressions |
Marko Tkalcic, Nima Maleki, Matevz Pesek, Mehdi Elahi, Francesco Ricci, Matija Marolt |
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code |
9 |
| Déjà Vu: The Importance of Time and Causality in Recommender Systems |
Justin Basilico, Yves Raimond |
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code |
9 |
| Building Recommender Systems for Fashion: Industry Talk Abstract |
Nick Landia |
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code |
9 |
| Educational Question Routing in Online Student Communities |
Jakub Macina, Ivan Srba, Joseph Jay Williams, Mária Bieliková |
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code |
9 |
| The Exploration-Exploitation Trade-off in Interactive Recommender Systems |
Andrea BarrazaUrbina |
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code |
8 |
| Evaluating Decision-Aware Recommender Systems |
Rus M. Mesas, Alejandro Bellogín |
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code |
8 |
| Additive Co-Clustering with Social Influence for Recommendation |
Xixi Du, Huafeng Liu, Liping Jing |
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code |
8 |
| Chemical Reactant Recommendation Using a Network of Organic Chemistry |
John Savage, Akihiro Kishimoto, Beat Buesser, Ernesto DiazAviles, Carlos Alzate |
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code |
8 |
| Fewer Flops at the Top: Accuracy, Diversity, and Regularization in Two-Class Collaborative Filtering |
Bibek Paudel, Thilo Haas, Abraham Bernstein |
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code |
8 |
| On Parallelizing SGD for Pairwise Learning to Rank in Collaborative Filtering Recommender Systems |
A. Murat Yagci, Tevfik Aytekin, Fikret S. Gürgen |
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code |
7 |
| Boosting Recommender Systems with Deep Learning |
João Gomes |
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code |
7 |
| An Elementary View on Factorization Machines |
Sebastian Prillo |
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code |
7 |
| Folding: Why Good Models Sometimes Make Spurious Recommendations |
Doris Xin, Nicolas Mayoraz, Hubert Pham, Karthik Lakshmanan, John R. Anderson |
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code |
6 |
| Improving Higher Education: Learning Analytics & Recommender Systems Research |
George Karypis |
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code |
5 |
| Unsupervised Context-Driven Recommendations Based On User Reviews |
Francisco J. Peña |
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code |
5 |
| 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 |
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code |
5 |
| Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms |
Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho |
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code |
5 |
| 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 |
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code |
5 |
| Bandit Algorithms for e-Commerce Recommender Systems: Extended Abstract |
Björn Brodén, Mikael Hammar, Bengt J. Nilsson, Dimitris Paraschakis |
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code |
4 |
| Surveying User Reactions to Recommendations Based on Inferences Made by Face Detection Technology |
Jennifer Marlow, Jason Wiese |
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code |
4 |
| A Semantic-Aware Profile Updating Model for Text Recommendation |
Hossein Rahmatizadeh Zagheli, Hamed Zamani, Azadeh Shakery |
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code |
4 |
| Exploiting Socio-Economic Models for Lodging Recommendation in the Sharing Economy |
Raul SanchezVazquez, Jordan Silva, Rodrygo L. T. Santos |
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code |
4 |
| Online Learning to Rank for Recommender Systems |
Daan Odijk, Anne Schuth |
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code |
3 |
| You are what apps you use: Transfer Learning for Personalized Content and Ad Recommendation |
Zhixian Yan, Lai Wei, Yunshan Lu, Zhongqiang Wu, Bo Tao |
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code |
3 |
| Citolytics: A Link-based Recommender System for Wikipedia |
Malte Schwarzer, Corinna Breitinger, Moritz Schubotz, Norman Meuschke, Bela Gipp |
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code |
3 |
| Pokedem: an Automatic Social Media Management Application |
Francesco Corcoglioniti, Claudio Giuliano, Yaroslav Nechaev, Roberto Zanoli |
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code |
3 |
| Rethinking Collaborative Filtering: A Practical Perspective on State-of-the-art Research Based on Real World Insights |
Noam Koenigstein |
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code |
2 |
| Tutorial on Open Source Online Learning Recommenders |
Róbert Pálovics, Domokos Kelen, András A. Benczúr |
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code |
2 |
| Personalization is a Two-Way Street |
Ronny Lempel |
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code |
2 |
| Personalization challenges in e-Learning |
Roberto Turrin |
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code |
2 |
| User Preferences Analysis Using Visual Stimuli |
Peter Gaspar |
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code |
2 |
| Improving the Trustworthiness of Recommendations in Collaborative Filtering under the Belief Function Framework |
Raoua Abdelkhalek |
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code |
1 |
| Visual Analysis of Recommendation Performance |
Ludovik Çoba, Panagiotis Symeonidis, Markus Zanker |
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code |
1 |
| Constructive Recommendation |
Paolo Dragone |
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code |
1 |
| Recommendation Applications and Systems at Electronic Arts |
Meng Wu, John Kolen, Navid Aghdaie, Kazi A. Zaman |
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code |
0 |
| Recommender Systems and the New New Economics of Information |
George Loewenstein |
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code |
0 |
| Memory Networks for Recommendation |
Jason Weston |
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code |
0 |
| Bootstrapping a Destination Recommender System |
Neal Lathia |
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code |
0 |
| CheckInShop.eu: A Sensor-based Recommender System for micro-location Marketing |
Panagiotis Symeonidis, Stergios Chairistanidis |
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code |
0 |
| Improving Similarity Measures Using Ontological Data |
Özge Sürer |
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code |
0 |