H. Alizadeh

Information Systems · with Bagherifard · 2013

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 19 citations into it
• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Recommender Systems — 6 citations into it
• Management Science and Operations Research — 5 citations into it

Whom H. Alizadeh trusts overall

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

1. Robin D. Burke
2. Michael J. Pazzani
3. Badrul Munir Sarwar
4. Paul Resnick
5. George Karypis

Papers from H. Alizadeh's perspective

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

1. Empirical Analysis of Predictive Algorithms for Collaborative Filtering
2. An open architecture for collaborative filtering of netnews
3. Fab: content-based, collaborative recommendation
4. Using collaborative filtering to weave an information tapestry
5. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
6. Learning Collaborative Information Filters
7. NewsWeeder: Learning to Filter Netnews
8. Analysis of recommendation algorithms for e-commerce (ACM Conference on Economics and Computation)
9. GroupLens: applying collaborative filtering to Usenet news
10. Application of Dimensionality Reduction in Recommender System - A Case Study

Their papers

• Collaborative filtering recommender systems (2013) — 1,869 citations