Michael Jugovac

Information Systems · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 35 citations into it
• Artificial Intelligence — 17 citations into it
• Management Science and Operations Research — 16 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Recommender Systems — 5 citations into it

Whom Michael Jugovac trusts overall

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

1. Wei Chu
2. Lihong Li
3. Tapio Luostarinen
4. J. Langford

Papers from Michael Jugovac's perspective

Ordered by how strongly the researchers Michael Jugovac trusts endorse each paper. Same corpus, a different order for every researcher.

1. Google news personalization: scalable online collaborative filtering
2. Evaluating collaborative filtering recommender systems
3. Personalized recommendation on dynamic content using predictive bilinear models
4. A contextual-bandit approach to personalized news article recommendation
5. Improving recommendation lists through topic diversification
6. A case study of behavior-driven conjoint analysis on Yahoo!: front page today module
7. The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information
8. Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms
9. Explaining the user experience of recommender systems
10. A user-centric evaluation framework for recommender systems (ACM Conference on Recommender Systems)

Their papers

• News recommender systems - Survey and roads ahead (2018) — 326 citations