recsys 2017 论文列表
Proceedings of the Eleventh ACM Conference on Recommender Systems, RecSys 2017, Como, Italy, August 27-31, 2017.
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Constructive Recommendation.
User Preferences Analysis Using Visual Stimuli.
The Exploration-Exploitation Trade-off in Interactive Recommender Systems.
Unsupervised Context-Driven Recommendations Based On User Reviews.
Improving the Trustworthiness of Recommendations in Collaborative Filtering under the Belief Function Framework.
Improving Similarity Measures Using Ontological Data.
Online Recommender System for Personalized Nutrition Advice.
Deep Cross-Domain Fashion Recommendation.
Recommending a Sequence of Points of Interest to a Group of Users in a Mobile Context.
Tutorial on Open Source Online Learning Recommenders.
Product Recommendations Enhanced with Reviews.
Deep Learning for Recommender Systems.
Privacy for Recommender Systems: Tutorial Abstract.
New Paths in Music Recommender Systems Research.
LSRS'17: Workshop on Large-Scale Recommender Systems.
CitRec 2017: International Workshop on Recommender Systems for Citizens.
RecTour 2017: Workshop on Recommenders in Tourism.
RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems.
FATREC Workshop on Responsible Recommendation.
Workshop on Recommendation in Complex Scenarios: (ComplexRec 2017).
VAMS 2017: Workshop on Value-Aware and Multistakeholder Recommendation.
KidRec: Children & Recommender Systems: Workshop Co-located with ACM Conference on Recommender Systems (RecSys 2017).
Second Workshop on Health Recommender Systems: (HealthRecSys 2017).
RecSys Challenge 2017: Offline and Online Evaluation.
DLRS 2017: Second Workshop on Deep Learning for Recommender Systems.
The 1st International Workshop on Temporal Reasoning in Recommender Systems.
The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning: (RecSysKTL).
PathRec: Visual Analysis of Travel Route Recommendations.
Visual Analysis of Recommendation Performance.
Citolytics: A Link-based Recommender System for Wikipedia.
Pokedem: an Automatic Social Media Management Application.
Data-Driven Repricing Strategies in Competitive Markets: An Interactive Simulation Platform.
A Research Tool for User Preferences Elicitation with Facial Expressions.
CheckInShop.eu: A Sensor-based Recommender System for micro-location Marketing.
You are what apps you use: Transfer Learning for Personalized Content and Ad Recommendation.
Bandit Algorithms for e-Commerce Recommender Systems: Extended Abstract.
Online Learning to Rank for Recommender Systems.
Personalized Job Recommendation System at LinkedIn: Practical Challenges and Lessons Learned.
Personalization challenges in e-Learning.
Boosting Recommender Systems with Deep Learning.
Building Recommender Systems for Fashion: Industry Talk Abstract.
Déjà Vu: The Importance of Time and Causality in Recommender Systems.
Bootstrapping a Destination Recommender System.
Search Ranking And Personalization at Airbnb.
Recommendation Applications and Systems at Electronic Arts.
Rethinking Collaborative Filtering: A Practical Perspective on State-of-the-art Research Based on Real World Insights.
Dynamic Scholarly Collaborator Recommendation via Competitive Multi-Agent Reinforcement Learning.
Exploring the Semantic Gap for Movie Recommendations.
A Multi-criteria Recommender System Exploiting Aspect-based Sentiment Analysis of Users' Reviews.
A Semantic-Aware Profile Updating Model for Text Recommendation.
Recommendation of High Quality Representative Reviews in e-commerce.
When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation.
Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction.
TransNets: Learning to Transform for Recommendation.
Getting Deep Recommenders Fit: Bloom Embeddings for Sparse Binary Input/Output Networks.
An Insurance Recommendation System Using Bayesian Networks.
Surveying User Reactions to Recommendations Based on Inferences Made by Face Detection Technology.
Exploiting Socio-Economic Models for Lodging Recommendation in the Sharing Economy.
Practical Lessons from Developing a Large-Scale Recommender System at Zalando.
Recommending Product Sizes to Customers.
Defining and Supporting Narrative-driven Recommendation.
Understanding How People Use Natural Language to Ask for Recommendations.
Geographical Diversification in POI Recommendation: Toward Improved Coverage on Interested Areas.
Fewer Flops at the Top: Accuracy, Diversity, and Regularization in Two-Class Collaborative Filtering.
Chemical Reactant Recommendation Using a Network of Organic Chemistry.
Folding: Why Good Models Sometimes Make Spurious Recommendations.
Additive Co-Clustering with Social Influence for Recommendation.
Expediting Exploration by Attribute-to-Feature Mapping for Cold-Start Recommendations.
An Elementary View on Factorization Machines.
MPR: Multi-Objective Pairwise Ranking.
Translation-based Recommendation.
Sequential User-based Recurrent Neural Network Recommendations.
Modeling User Session and Intent with an Attention-based Encoder-Decoder Architecture.
3D Convolutional Networks for Session-based Recommendation with Content Features.
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks.
Recommending Personalized News in Short User Sessions.
A Novel Recommender System for Helping Marathoners to Achieve a New Personal-Best.
Fairness-Aware Group Recommendation with Pareto-Efficiency.
Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations.
Secure Multi-Party Protocols for Item-Based Collaborative Filtering.
User Preferences for Hybrid Explanations.
Using Explainability for Constrained Matrix Factorization.
Evaluating Decision-Aware Recommender Systems.
Effective User Interface Designs to Increase Energy-efficient Behavior in a Rasch-based Energy Recommender System.
The Magic Barrier Revisited: Accessing Natural Limitations of Recommender Assessment.
Educational Question Routing in Online Student Communities.
Controlling Popularity Bias in Learning-to-Rank Recommendation.
On Parallelizing SGD for Pairwise Learning to Rank in Collaborative Filtering Recommender Systems.
entity2rec: Learning User-Item Relatedness from Knowledge Graphs for Top-N Item Recommendation.
A Gradient-based Adaptive Learning Framework for Efficient Personal Recommendation.
Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms.
Learning to Rank with Trust and Distrust in Recommender Systems.
Memory Networks for Recommendation.
Personalization is a Two-Way Street.
Improving Higher Education: Learning Analytics & Recommender Systems Research.
Recommender Systems and the New New Economics of Information.
