recsys 2017 论文列表Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 28, 2017. |
pyRecLab: A Software Library for Quick Prototyping of Recommender Systems.
Users' Choices About Hotel Booking: Cues for Personalizing the Presentation of Recommendations.
Kernalized Collaborative Contextual Bandits.
The Demographics of Cool: Popularity and Recommender Performance for Different Groups of Users.
An Explanatory Matrix Factorization with User Comments Data.
Music Emotion Recognition via End-to-End Multimodal Neural Networks.
Towards Effective Exploration/Exploitation in Sequential Music Recommendation.
Do Users Matter? The Contribution of User-Driven Feature Weights to Open Dataset Recommendations.
Recommender Popularity Controls: An Observational Study.
Can Readability Enhance Recommendations on Community Question Answering Sites?
Recommender Systems for Banking and Financial Services.
A Recommender System for Personalized Exploration of Majors, Minors, and Concentrations.
How Diverse Is Your Audience? Exploring Consumer Diversity in Recommender Systems.
SemRevRec: A Recommender System based on User Reviews and Linked Data.
Recommender Systems in the Internet of Talking Things (IoTT).
Towards a Recommender System for Undergraduate Research.
Alpenglow: Open Source Recommender Framework with Time-aware Learning and Evaluation.
The Importance of Song Context in Music Playlists.
Multi Cross Domain Recommendation Using Item Embedding and Canonical Correlation Analysis.
Explanation Chains: Recommendations by Explanation.
WMRB: Learning to Rank in a Scalable Batch Training Approach.
Explainable Entity-based Recommendations with Knowledge Graphs.
Intent-Aware Diversification using Item-Based SubProfiles.