RecTour 2024
Recommenders in Tourism 2024

Table of Contents

• Preface
  Summary: There were 9 papers submitted for peer-review to this workshop. Out of these, 8 papers were accepted for this volume, 7 as regular papers and 1 as industry paper. Additionally, this volume features 4 invited papers related to the RecTour 2024 Challenge.

Research Papers

• TRACE: Transformer-based User Representations from Attributed Clickstream Event Sequences 1-10
  William Black, Alex Manlove, Jack Pennington, Andrea Marchini, Ercument Ilhan, Vilda Markeviciute
• Multi-funnel Recommender System for Cold Item Boosting 11-22
  Ahmed Khaili, Kostia Kofman, Edgar Cano, Adva Hadrian, Andrew Mende
• Structured Entity Extraction from Travel Videos Using Vision-Language Models 23-30
  Kevin Dela Rosa
• Lifecycle of Promotional Campaigns in the Online Travel Industry 31-38
  Carlos Herrero, Amit Livne, Itsik Adiv, Hugo Manuel Proença, Felipe Moraes, Javier Albert, Dima Goldenberg
• SMARTIE: Smart Museum for All Using a Range of Technology for Inclusive Experience 39-48
  Alexandra Danial-Saad, Yael Avni, Julia Sheidin, Tsvi Kuflik
• A Multimodal Dataset and Benchmark for Tourism Review Generation 49-67
  Hiromasa Yamanishi, Ling Xiao, Toshihiko Yamasaki
• A Roadmap for Privacy Preserving Tourist Recommendation Systems 68-73
  Alan Wecker, Noa Tuval, Alain Hertz, Mohammad Mahamid, Tsvi Kuflik

Industry Paper

• Journey to Centralizing Destination Recommendations 74-81
  Maria Prosviryakova, Gaurav Misra, Sebastien Le Digabel, Rodrigo Villatoro

RecTour 2024 Challenge Papers

• Booking.com RecSys RecTour 2024 Challenge (short paper) 82-86
  Amit Livne, Eran Fainman
• Solution to the Personalized Accommodation Review Ranking Task via Tabular Data Approach (short paper) 87-92
  Yu Tokutake
• Accommodation Review Ranking for Tourism Recommendation (short paper) 93-99
  Emrul Hasan, Chen Ding, Sajib Saha, Neelima Preeti, Abdul Halim
• ProfileRec: Efficient Accommodation Review Ranking using Sentence Embeddings and Nearest-Neighbor Search (short paper) 100-103
  Rajorshi Chaudhuri, Pranav Bhatki, Yash Dubal