Power to the people: exploring neighbourhood formations in social recommender system

  • Authors:
  • Steven Bourke;Kevin McCarthy;Barry Smyth

  • Affiliations:
  • University College Dublin, Dublin, Ireland;University College Dublin, Dublin, Ireland;University College Dublin, Dublin, Ireland

  • Venue:
  • Proceedings of the fifth ACM conference on Recommender systems
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

The explosive growth of online social networks in recent times has presented a powerful source of information to be utilised in personalised recommendations. Unsurprisingly there has already been a large body of work completed in the recommender system field to incorporate this social information into the recommendation process. In this paper we examine the practice of leveraging a user's social graph in order to generate recommendations. Using various neighbourhood selection strategies, we examine the user satisfaction and the level of perceived trust in the recommendations received.