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Sökning: WFRF:(Zhang P) > Rapport

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1.
  • Agarwalla, S.K., et al. (författare)
  • EUROnu-WP6 2010 Report
  • 2012
  • Rapport (övrigt vetenskapligt/konstnärligt)abstract
    • This is a summary of the work done by the Working Package 6 (Physics) of the EU project "EUROnu" during the second year of activity of the project.
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2.
  • Pertl, Leonhard, et al. (författare)
  • Exports and Productivity : Comparable Evidence for 14 Countries
  • 2007
  • Ingår i: Policy Research Working Papers. - New York : World Bank. - 1813-9450.
  • Rapport (refereegranskat)abstract
    • The authors use comparable micro level panel data for 14 countries and a set of identically specified empirical models to investigate the relationship between exports and productivity. The overall results are in line with the big picture that is by now familiar from the literature: Exporters are more productive than non-exporters when observed and unobserved heterogeneity are controlled for, and these exporter productivity premia tend to increase with the share of exports in total sales; there is strong evidence in favour of self-selection of more productive firms into export markets, but nearly no evidence in favour of the learning-by-exporting hypothesis. The authors document that the exporter premia differ considerably across countries in identically specified empirical models. In a meta-analysis of their results the authors find that countries that are more open and have more effective government report higher productivity premia. However, the level of development per se does not appear to be an explanation for the observed cross-country differences.
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3.
  • Zhang, Cheng, 1987-, et al. (författare)
  • GroupBox: A generative model for group recommendation
  • 2015
  • Rapport (refereegranskat)abstract
    • In this paper, we present a principled probabilistic framework – GroupBox – for making recommendations to groups. GroupBox is able to model user influence within a group, the suitability of an item to a group context, and the differences in user preference between individual and group contexts. Efficient scalable inference algorithms are used for GroupBox, which makes it applicable to large-scale datasets. We run experiments on a large-scale TV viewing dataset collected by Nielsen and show how the model can be used to understand both context and influence. The experimental results on the large scale real data provide a deep understanding of the individual behaviours in group context.
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