Julia M. Mayer

Information Systems · 2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Julia M. Mayer trusts overall

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

  1. Paul Resnick
  2. Stephen E. Robertson
  3. J. Breese
  4. David Goldberg
  5. Mark S. Granovetter
  6. Robert D. Putnam
  7. David E. Heckerman
  8. Eric Paulos
  9. Joyce Ho

Papers from Julia M. Mayer's perspective

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

  1. Using collaborative filtering to weave an information tapestry
  2. Empirical Analysis of Predictive Algorithms for Collaborative Filtering
  3. An open architecture for collaborative filtering of netnews
  4. The Strength of Weak Ties
  5. Understanding inverse document frequency: on theoretical arguments for IDF
  6. Bowling alone: the collapse and revival of American community (Conference on Computer Supported Cooperative Work)
  7. Is actual similarity necessary for attraction? A meta-analysis of actual and perceived similarity
  8. Amazon.com Recommendations: Item-to-Item Collaborative Filtering
  9. Privacy
  10. Experiences of developing and deploying a context-aware tourist guide: the GUIDE project (ACM/IEEE International Conference on Mobile Computing and Networking)

Their papers