| Vol-1905 urn:nbn:de:0074-1905-3 Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# Poster-Recsys 2017
Poster Proceeding of ACM Recsys 2017

### Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017)

### Como, Italy, August 28, 2017.

Edited by

### Domonkos Tikk *
Pearl Pu **

* Gravity R&D, 1113 Budapest, Hungary
** EPFL, Human-Computer Interaction Group, Faculty of Computer and Communication Sciences, 1015 Lausanne, Switzerland

## 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, Danele 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

2017-08-22: submitted by Domonkos Tikk, metadata incl. bibliographic data published under Creative Commons CC0
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