Quantum Game-Based Recommender Systems for Disruptive Innovations

Agung Trisetyarso, Fithra Faisal Hastiadi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)


A recommender system based on quantum game for disruptive innovations is proposed. Permutation operators are used to determine the dominance of players on the game, while several possibilities of measurement scheme of quantum game are utilized for harnessing disruptive innovations. It is shown in this manuscript that mathematical properties in quantum mechanics can be implemented for the extensions of recommender system capabilities.

Original languageEnglish
Title of host publicationIntelligent Information and Database Systems - 11th Asian Conference, ACIIDS 2019, Proceedings
EditorsNgoc Thanh Nguyen, Tzung-Pei Hong, Ngoc Thanh Nguyen, Bogdan Trawiński, Ford Lumban Gaol
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783030147983
Publication statusPublished - 1 Jan 2019
Event11th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2019 - Yogyakarta, Indonesia
Duration: 8 Apr 201911 Apr 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11431 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference11th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2019


  • Disruptive innovations
  • Quantum game
  • Recommender systems


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