| Vol-3560 urn:nbn:de:0074-3560-3 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 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).

# KaRS 2023
Knowledge-aware and Conversational Recommender Systems 2023

### Proceedings of the Fifth Knowledge-aware and Conversational Recommender Systems Workshop
co-located with 17th ACM Conference on Recommender Systems (RecSys 2023)

### Singapore, September 19th, 2023.

Edited by

### Vito Walter Anelli *
Pierpaolo Basile **
Gerard De Melo ***
Francesco Maria Donini ****
Antonio Ferrara *
Cataldo Musto **
Fedelucio Narducci *
Azzurra Ragone **
Markus Zanker *****

* Polytechnic University of Bari, Italy
** University of Bari Aldo Moro, Italy
*** Hasso Plattner Institute, Germany and University of Potsdam, Germany
**** University of Tuscia, Italy
***** Free University of Bozen-Bolzano, Italy

## Table of Contents

- Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS 2023) 1-6
  Vito Walter Anelli, Pierpaolo Basile, Gerard De Melo, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker
  Summary: There were 14 papers accepted for presentation. Out of these, 7 are regular papers, 2 short papers, 3 demo papers, and 2 position papers.

### Session 1: Conversational RSs

- A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommendation Systems 7-20
  Chuang Li, Hengchang Hu, Yan Zhang, Min-Yen Kan, Haizhou Li
- Tidying Up the Conversational Recommender Systems’ Biases 21-34
  Armin Moradi, Golnoosh Farnadi
- GPT3RecBot: a universal chatbot recommender of movies, books and music in Telegram 35-43
  Oleg Lashinin, Kirill Bykov, Marina Ananyeva, Sergey Kolesnikov

### Session 2: LLMs for Recommendation

- VideolandGPT: A User Study on a Conversational Recommender System (demo paper) 44-49
  Mateo Gutierrez Granada, Dina Zilbershtein, Daan Odijk, Francesco Barile
- Extraction of Atypical Aspects from Customer Reviews: Datasets and Experiments with Language Models 50-60
  Smita Nannaware, Erfan Al-Hossami, Razvan Bunescu
- Potentials of Combining Local Knowledge and LLMs for Recommender Systems (position paper) 61-64
  Thomas E. Kolb, Ahmadou Wagne, Mete Sertkan, Julia Neidhardt

### Session 3: Content-Based and Knowledge-Aware RSs 1

- The Melodies of an Image: Exploring Music Recommendations Based on an Image's Content and Context (position paper) 65-68
  Adwaita Janardhan Jadhav, Ishmeet Kaur
- Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer 69-79
  Tommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini
- GInRec: A Gated Architecture for Inductive Recommendation using Knowledge Graphs 80-89
  Theis E. Jendal, Matteo Lissandrini, Peter Dolog, Katja Hose
- MeKB-Rec: Personal Knowledge Graph Learning for Cross-Domain Recommendation 90-102
  Xin Su, Yao Zhou, Zifei Shan, Qian Chen

### Session 4: Content-Based and Knowledge-Aware RSs 2

- Warming up From Extreme Cold start Using Stereotypes with Dynamic User and Item Features (short paper) 103-108
  Nourah A. AlRossais
- Knowledge Graph Datasets for Recommendation (short paper) 109-117
  Vincenzo Paparella, Alberto Carlo Maria Mancino, Antonio Ferrara, Claudio Pomo, Vito Walter Anelli, Tommaso Di Noia
- CONREC: Continuous Recommendation of Online Learning Videos Based on Concept Maps (demo paper) 118-123
  Sungbeom Lee, Bumku Choi, Jungkyu Han, Sejin Chun

2023-10-16: submitted by Antonio Ferrara, metadata incl. bibliographic data published under Creative Commons CC0
2023-11-23: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|