The reinforcing influence of recommendations on global diversification

An ZENG, Chi Ho YEUNG, Ming-Sheng SHANG, Yi-Cheng ZHANG

Research output: Contribution to journalArticle

35 Citations (Scopus)

Abstract

Recommender systems are promising ways to filter the abundant information in modern society. Their algorithms help individuals to explore decent items, but it is unclear how they distribute popularity among items. In this paper, we simulate successive recommendations and measure their influence on the dispersion of item popularity by Gini coefficient. Our result indicates that local diffusion and collaborative filtering reinforce the popularity of hot items, widening the popularity dispersion. On the other hand, the heat conduction algorithm increases the popularity of the niche items and generates smaller dispersion of item popularity. Simulations are compared to mean-field predictions. Our results suggest that recommender systems have reinforcing influence on global diversification. Finally, the study of the hybrid method of mass diffusion and heat conduction reveals that the influence of recommender systems is actually controllable. Copyright © 2012 EPL Editorial Office.
Original languageEnglish
Article number18005
JournalEurophysics Letters
Volume97
Issue number1
DOIs
Publication statusPublished - Jan 2012

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recommendations
conductive heat transfer
filters
conduction
coefficients
predictions
simulation

Citation

Zeng, A., Yeung, C. H., Shang, M.-S, & Zhang, Y.-C. (2012). The reinforcing influence of recommendations on global diversification. Europhysics Letters, 97(1). Retrieved from https://doi.org/10.1209/0295-5075/97/18005