Lucia D'Acunto

Information Systems · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lucia D'Acunto trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Peter Dolan (in Artificial Intelligence)
  2. Jiahui Liu (in Artificial Intelligence)
  3. Elin Rønby Pedersen (in Artificial Intelligence)

Papers from Lucia D'Acunto's perspective

Ordered by how strongly the researchers Lucia D'Acunto trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Avoiding monotony: improving the diversity of recommendation lists (ACM Conference on Recommender Systems)
  2. Solving the apparent diversity-accuracy dilemma of recommender systems
  3. Temporal diversity in recommender systems
  4. Republic.com 2.0
  5. Bias in algorithmic filtering and personalization (Ethics and Information Technology)
  6. Rank and relevance in novelty and diversity metrics for recommender systems (ACM Conference on Recommender Systems)
  7. Filter bubble (Internet Policy Review)
  8. Exploring the filter bubble: the effect of using recommender systems on content diversity
  9. Personalized news recommendation based on click behavior
  10. Experimental evidence of massive-scale emotional contagion through social networks

Their papers