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Sökning: WFRF:(Zhang Feng) > Högskolan i Halmstad

  • Resultat 1-3 av 3
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1.
  • 2019
  • Tidskriftsartikel (refereegranskat)
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2.
  • Bäckhed, Fredrik, 1973, et al. (författare)
  • Dynamics and Stabilization of the Human Gut Microbiome during the First Year of Life
  • 2015
  • Ingår i: Cell Host & Microbe. - Cambridge : Elsevier BV. - 1931-3128 .- 1934-6069. ; 17:5, s. 690-703
  • Tidskriftsartikel (refereegranskat)abstract
    • The gut microbiota is central to human health, but its establishment in early life has not been quantitatively and functionally examined. Applying metagenomic analysis on fecal samples from a large cohort of Swedish infants and their mothers, we characterized the gut microbiome during the first year of life and assessed the impact of mode of delivery and feeding on its establishment. In contrast to vaginally delivered infants, the gut microbiota of infants delivered by C-section showed significantly less resemblance to their mothers. Nutrition had a major impact on early microbiota composition and function, with cessation of breast-feeding, rather than introduction of solid food, being required for maturation into an adult-like microbiota. Microbiota composition and ecological network had distinctive features at each sampled stage, in accordance with functional maturation of the microbiome. Our findings establish a framework for understanding the interplay between the gut microbiome and the human body in early life.
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3.
  • Zeyu, He, et al. (författare)
  • Causal embedding of user interest and conformity for long-tail session-based recommendations
  • 2023
  • Ingår i: Information Sciences. - Philadelphia, PA : Elsevier. - 0020-0255 .- 1872-6291. ; 644
  • Tidskriftsartikel (refereegranskat)abstract
    • Session-based recommendation is misleading by popularity bias and always favors short-head items with more popularity. This paper studies a new causal-based framework CauTailReS to increase the diversity of session recommendations. We first propose a new causal graph and then use the do-calculus in order to understand how popularity influences the process of making recommendations from the user's point of view. Popularity only misleads users temporarily, rather than in a long term and globally. Second, we believe that user clicks on popular products demonstrate their high quality and reputation. CauTailReS only eliminates ‘bad’ biases and retains ‘good’ effects through interest and consistent causal embedding mechanisms. To determine how similar various users are on various target items, CauTailReS also employs a re-ranking technique known as ‘conformity-aware re-ranking’. To discover interactions based on what actual users want, CauTailReS also employs counterfactual reasoning. Extensive comparative experiments on four real world datasets have shown CauTailReS can well capture the true interests and consistency of users. As compared to the current state-of-the-art, CauTailReS enhances long-tail performance (APLT is increased by 8.14%) and recommendation accuracy (MRR is increased by 2.75%). This proves that introducing causal embeddings helps to reasonably enhance the diversity of recommendations. © 2023 Elsevier Inc.
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  • Resultat 1-3 av 3

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