Justin J. Levandoski

IEEE International Conference on Data Engineering · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Justin J. Levandoski trusts overall

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

  1. William W. Pugh
  2. Paul Resnick
  3. Ronald Fagin
  4. Badrul Munir Sarwar
  5. Amnon Lotem
  6. George Karypis

Who trusts Justin J. Levandoski overall

  1. Charu C. Aggarwal
  2. Jia-Dong Zhang
  3. Hao Zhang
  4. Yong Liu
  5. Xutao Li
  6. Chi-Yin Chow
  7. Gao Cong
  8. Gang Chen
  9. Wei Wei
  10. Jie Bao

Papers from Justin J. Levandoski's perspective

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

  1. An open architecture for collaborative filtering of netnews
  2. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
  3. Item-based collaborative filtering recommendation algorithms
  4. Amazon.com Recommendations: Item-to-Item Collaborative Filtering
  5. Collaborative location and activity recommendations with GPS history data (The Web Conference)
  6. Optimal aggregation algorithms for middleware (ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems)
  7. SINA: scalable incremental processing of continuous queries in spatio-temporal databases (ACM SIGMOD Conference)
  8. Skip lists: a probabilistic alternative to balanced trees
  9. Design of flash-based DBMS: an in-page logging approach (ACM SIGMOD Conference)
  10. Write amplification analysis in flash-based solid state drives (Annual Haifa Experimental Systems Conference)

Their papers