Panniello Umberto

Information Systems · 2015

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 12 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Management Science and Operations Research — 6 citations into it
• Recommender Systems — 5 citations into it

Whom Panniello Umberto trusts overall

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

1. Gediminas Adomavicius
2. Robin D. Burke
3. Jonathan L. Herlocker
4. J. Konstan
5. Alexander Tuzhilin
6. Pasquale Lops
7. Badrul Munir Sarwar
8. John Riedl
9. George Karypis
10. Marco Degemmis

Papers from Panniello Umberto's perspective

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

1. Item-based collaborative filtering recommendation algorithms
2. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
3. An algorithmic framework for performing collaborative filtering
4. Evaluating collaborative filtering recommender systems
5. Fab: content-based, collaborative recommendation
6. Empirical Analysis of Predictive Algorithms for Collaborative Filtering
7. Using collaborative filtering to weave an information tapestry
8. E-Commerce Recommendation Applications
9. Blockbuster Culture's Next Rise or Fall: The Impact of Recommender Systems on Sales Diversity (Management Sciences)
10. Hybrid Recommender Systems: Survey and Experiments

Their papers

• Developing a Price-Sensitive Recommender System to Improve Accuracy and Business Performance of Ecommerce Applications (2015) — 26 citations