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