Fernando Ortega
Information Systems · with Bobadilla · 2012–2013
A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 72 citations into it; #6,701 of 8,771 by trust here, #1,895 by citations
- Computer Vision and Pattern Recognition — 26 citations into it
- Artificial Intelligence — 22 citations into it
- Management Science and Operations Research — 18 citations into it
- Signal Processing — 15 citations into it; #6,262 of 7,572 by trust here, #1,820 by citations
- Computer Networks and Communications — 10 citations into it
- Marketing — 10 citations into it
- Recommender Systems — 9 citations into it; #178 of 233 by trust here, #108 by citations
Whom Fernando Ortega trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jonathan L. Herlocker
- Jesús Bobadilla
- J. Konstan
- Hyung Jun Ahn
- Badrul Munir Sarwar
- William W. Cohen
- Michael J. Pazzani
- J. Breese
- Robin D. Burke
- Ken Lang
Who trusts Fernando Ortega overall
Papers from Fernando Ortega's perspective
Ordered by how strongly the researchers Fernando Ortega trusts endorse each paper. Same corpus, a different order for every researcher.
- Empirical Analysis of Predictive Algorithms for Collaborative Filtering
- Evaluating collaborative filtering recommender systems
- Item-based collaborative filtering recommendation algorithms
- An algorithmic framework for performing collaborative filtering
- Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
- Explaining collaborative filtering recommendations
- Content-boosted collaborative filtering for improved recommendations
- Eigentaste: A Constant Time Collaborative Filtering Algorithm
- Application of Dimensionality Reduction in Recommender System - A Case Study
- Categories and Subject Descriptors
Their papers
- A collaborative filtering approach to mitigate the new user cold start problem (2012) — 521 citations
- Recommender systems survey (2013) — 3,186 citations