Poster-Recsys 2017
Poster Proceeding of ACM Recsys 2017

Table of Contents

• Preface
  
  

• Intent-Aware Diversification using Item-Based SubProfiles
  Mesut Kaya, Derek Bridge
• Explainable Entity-based Recommendations with Knowledge Graphs
  Rose Catherine, Kathryn Mazaitis, Maxine Eskenazi, William Cohen
• WMRB: Learning to Rank in a Scalable Batch Training Approach
  Kuan Liu, Prem Natarajan
• Explanation Chains: Recommendations by Explanation
  Arpit Rana, Derek Bridge
• Multi Cross Domain Recommendation Using Item Embedding and Canonical Correlation Analysis
  Masahiro Kazama, István Varga
• The Importance of Song Context in Music Playlists
  Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer, Paolo Cremonesi
• Alpenglow: Open Source Recommender Framework with Time-aware Learning and Evaluation
  Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr
• Towards a Recommender System for Undergraduate Research
  Felipe Del Rio, Denis Parra, Jovan Kuzmicic, Erick Svec
• Recommender Systems in the Internet of Talking Things (IoTT)
  Fedelucio Narducci, Marco De Gemmis, Pasquale Lops, Giovanni Semeraro
• SemRevRec: A Recommender System based on User Reviews and Linked Data
  Iacopo Vagliano, Diego Monti, Maurizio Morisio
• How Diverse Is Your Audience? Exploring Consumer Diversity in Recommender Systems
  Jacek Wasilewski, Neil Hurley
• A Recommender System for Personalized Exploration of Majors, Minors, and Concentrations
  Young Park
• Recommender Systems for Banking and Financial Services
  Andrea Gigli, Fabrizio Lillo, Daniele Regoli
• Can Readability Enhance Recommendations on Community Question Answering Sites?
  Oghenemaro Anuyah, Ion Madrazo, David McNeill, Maria Soledad Pera
• Recommender Popularity Controls: An Observational Study
  F. Maxwell Harper
• Do Users Matter? The Contribution of User-Driven Feature Weights to Open Dataset Recommendations
  Anusuriya Devaraju, Shlomo Berkovsky
• Towards Effective Exploration/Exploitation in Sequential Music Recommendation
  Himan Abdollahpouri, Steve Essinger
• Music Emotion Recognition via End-to-End Multimodal Neural Networks
  Byungsoo Jeon, Chanju Kim, Adrian Kim, Dongwon Kim, Jangyeon Park, Jungwoo Ha
• An Explanatory Matrix Factorization with User Comments Data
  Donghyun Kim, Hayong Shin
• The Demographics of Cool: Popularity and Recommender Performance for Different Groups of Users
  Michael D. Ekstrand, Maria Soledad Pera
• Kernalized Collaborative Contextual Bandits
  Leonardo Cella, Romaric Gaudel, Paolo Cremonesi
• Users' Choices About Hotel Booking: Cues for Personalizing the Presentation of Recommendations
  Catalin-Mihai Barbu, Jürgen Ziegler
• pyRecLab: A Software Library for Quick Prototyping of Recommender Systems
  Gabriel Sepulveda, Vicente Dominguez, Denis Parra