UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Graph-based recommendation system
  • Publication Type:
    Conference
  • Authors:
    Yang K, Toni L
  • Publisher:
    IEEE
  • Publication date:
    21/02/2019
  • Pagination:
    798, 802
  • Published proceedings:
    2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings
  • ISBN-13:
    9781728112954
  • Status:
    Published
  • Name of conference:
    2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
  • Conference place:
    Anaheim, California, USA
  • Conference start date:
    26/11/2018
  • Conference finish date:
    29/11/2018
Abstract
© 2018 IEEE. In this work, we study recommendation systems modelled as contextual multi-armed bandit (MAB) problems. We propose a graph-based recommendation system that learns and exploits the geometry of the user space to create meaningful clusters in the user domain. This reduces the dimensionality of the recommendation problem while preserving the accuracy of MAB. We then study the effect of graph sparsity and clusters size on the MAB performance and provide exhaustive simulation results both in synthetic and in real-case datasets. Simulation results show improvements with respect to state-of-the-art MAB algorithms.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
Dept of Electronic & Electrical Eng
Author
Dept of Electronic & Electrical Eng
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by