John K. Tarus

Information Systems · 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

Whom John K. Tarus 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
  6. Francesco Ricci
  7. Bracha Shapira
  8. Jesús Bobadilla
  9. Jie Lu
  10. Mehrbakhsh Nilashi

Papers from John K. Tarus's perspective

Ordered by how strongly the researchers John K. Tarus 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. Evaluating collaborative filtering recommender systems
  5. Content-Based Recommendation Systems
  6. A literature review and classification of recommender systems research
  7. Empirical Analysis of Predictive Algorithms for Collaborative Filtering
  8. A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications (Hum. Comput. Interact.)
  9. Group Recommender Systems: Combining Individual Models (Recommender Systems Handbook)
  10. Recommender systems survey (Knowledge-Based Systems)

Their papers