Ghulam Mustafa

Information Systems · with Niu · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 27 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Artificial Intelligence — 9 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Ghulam Mustafa trusts overall

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

1. Robin D. Burke
2. Michael J. Pazzani
3. Gediminas Adomavicius
4. Janet Mannheimer Zydney
5. Nikos Manouselis

Papers from Ghulam Mustafa's perspective

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

1. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
2. Hybrid Web Recommender Systems (The Adaptive Web)
3. A Framework for Collaborative, Content-Based and Demographic Filtering
4. Content-Based Recommendation Systems
5. A literature review and classification of recommender systems research
6. Group Recommender Systems: Combining Individual Models (Recommender Systems Handbook)
7. A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications (Hum. Comput. Interact.)
8. Recommender systems survey (Knowledge-Based Systems)
9. A Taxonomy of Recommender Agents on the Internet (Artificial Intelligence Review)
10. Recommender Systems: Introduction

Their papers

• Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning (2017) — 450 citations