Controlling the crucible: A novel PvP recommender systems framework for destiny

Rafet Sifa, Eric Pawlakos, Kevin Zhai, Sai Haran, Rohan Jha, Diego Klabjan, Anders Drachen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Compared to conventional retail games, today's Massively Multiplayer Online Games (MMOGs) have become progressively more complex and volatile, living in a highly competitive market. Consumable resources in such games are nearly unlimited, making decisions to improve levels of engagement more challenging. Intelligent information filtering methods here can help players make smarter decisions, thereby improving performance, increasing level of engagement, and reducing the likelihood of early departure. In this paper, a novel approach towards building a hybrid multi-profile based recommender system for player-versus-player (PvP) content in the MMOG Destiny is presented. .e framework groups the players based on three distinct traced behavioral aspects: base stats, cooldown stats, and weapon playstyle. Di.erent combinations of these profiles are considered to make behavioral recommendations. An online evaluation was performed to investigate the usefulness of the proposed recommender framework to players of Destiny.

Original languageEnglish (US)
Title of host publicationProceedings of the Australasian Computer Science Week Multiconference, ACSW 2018
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450354363
DOIs
StatePublished - Jan 29 2018
Event2018 Australasian Computer Science Week Multiconference, ACSW 2018 - Brisbane, Australia
Duration: Jan 29 2018Feb 2 2018

Publication series

NameACM International Conference Proceeding Series

Other

Other2018 Australasian Computer Science Week Multiconference, ACSW 2018
CountryAustralia
CityBrisbane
Period1/29/182/2/18

Keywords

  • Behavior
  • Destiny
  • Game analytics
  • MMOFPS
  • MMOG
  • Profiling
  • Recommendation
  • Recommender systems

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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    Sifa, R., Pawlakos, E., Zhai, K., Haran, S., Jha, R., Klabjan, D., & Drachen, A. (2018). Controlling the crucible: A novel PvP recommender systems framework for destiny. In Proceedings of the Australasian Computer Science Week Multiconference, ACSW 2018 [3167926] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3167918.3167926