| Vol-2682 urn:nbn:de:0074-2682-7 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# IntRS 2020
Interfaces and Human Decision Making for Recommender Systems 2020

### Proceedings of the 7th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
co-located with 14th ACM Conference on Recommender Systems (RecSys 2020)

### Online Event, September 26, 2020.

Edited by

### Peter Brusilovsky *
Marco de Gemmis **
Alexander Felfernig ***
Pasquale Lops **
John O'Donovan ****
Giovanni Semeraro **
Martijn C. Willemsen *****

* University of Pittsburgh, School of Information Sciences, Pittsburgh, USA
** University of Bari Aldo Moro, Department of Computer Science, Bari, Italy
*** Graz University of Technology, Institute for Software Technology, Graz, Austria
**** University of California Santa Barbara, Department of Computer Science, Santa Barbara, USA
***** Eindhoven University of Technology, Department of Industrial Engineering and Innovation Sciences, Eindhoven, The Netherlands

## Table of Contents

- Preface

### Long Papers

- User Feedback in Controllable and Explainable Social Recommender Systems: a Linguistic Analysis 1-13
  Chun-Hua Tsai, Peter Brusilovsky
- Featuristic: An interactive hybrid system for generating explainable recommendations - beyond system accuracy 14-25
  Sidra Naveed, Jürgen Ziegler
- Post-hoc Explanations for Complex Model Recommendations using Simple Methods 26-36
  Dorin Shmaryahu, Guy Shani, Bracha Shapira
- A Comparison of Services for Intent and Entity Recognition for Conversational Recommender Systems 37-47
  Andrea Iovine, Fedelucio Narducci, Marco de Gemmis, Marco Polignano, Pierpaolo Basile, Giovanni Semeraro
- The Effect of Personality Traits on Persuading Recommender System Users 48-56
  Alaa Alslaity, Thomas Tran
- Diversity Exposure in Social Recommender Systems: A Social Capital Theory Perspective 57-64
  Chun-Hua Tsai, Jukka Huhtamäki, Thomas Olsson, Peter Brusilovsky
- Exploiting Distributional Semantics Models for Natural Language Context-aware Justifications for Recommender Systems 65-71
  Cataldo Musto, Giuseppe Spillo, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro

### Short Papers

- End-to-End Learning for Conversational Recommendation: A Long Way to Go? 72-76
  Dietmar Jannach, Ahtsham Manzoor
- Recommending Interesting Writing using a Controllable, Explanation-Aware Visual Interface 77-80
  Rohan Bansal, Jordan Olmstead, Uri Bram, Robert Cottrell, Gabriel Reder, Jaan Altosaar

2020-09-16: submitted by Marco de Gemmis, metadata incl. bibliographic data published under Creative Commons CC0
2020-09-23: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|