Kari Karppinen

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

• Information Systems — 9 citations into it

Whom Kari Karppinen trusts overall

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

1. Jiahui Liu

Papers from Kari Karppinen's perspective

Ordered by how strongly the researchers Kari Karppinen 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. Experimental evidence of massive-scale emotional contagion through social networks
8. Filter bubble (Internet Policy Review)
9. Exploring the filter bubble: the effect of using recommender systems on content diversity
10. Personalized news recommendation based on click behavior

Their papers

• Exposure diversity as a design principle for recommender systems (2018) — 312 citations