Investigating Recommendation Algorithms for Escape Rooms

Sagi Bazinin, Guy Shani

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

An escape room is a physical puzzle solving game, where participants solve a series of riddles within a limited time to exit a locked room. Escape rooms differ in their theme, environment, and difficulty, and people hence often differ on their preferences over escape rooms. As such, recommendation systems can help people in deciding which room to visit. In this paper, we describe the properties of the escape rooms recommendation problem, with respect to other popular recommendation problems. We describe a dataset of reviews collected within a current system. We provide an empirical comparison between a set of recommendation algorithms over two problems, top-N recommendation and rating prediction. In both cases, a KNN method performed the best.

Original languageEnglish
Pages (from-to)377-388
Number of pages12
JournalVietnam Journal of Computer Science
Volume6
Issue number4
DOIs
StatePublished - 1 Nov 2019

Keywords

  • Recommender systems
  • collaborative filtering
  • empirical evaluation
  • escape room

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Software
  • Computer Science (miscellaneous)

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