Matthew R. McLaughlin
Information Systems · 2004–2005
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 6 citations into it; #3,182 of 8,771 by trust here, #4,682 by citations
Whom Matthew R. McLaughlin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul Resnick
- Badrul Munir Sarwar
- J. Breese
- J. Konstan
- George Karypis
- Jonathan L. Herlocker
- David E. Heckerman
- John Riedl
- Carl Myers Kadie
Who trusts Matthew R. McLaughlin overall
- Shuang-Hong Yang
- X. Chen
- Hongzhi Yin
- Zibin Zheng
- Bo Long
- Michael R. Lyu
- Bin Cui
- Xiaoyuan Su
- Alex Smola
- Michael D. Ekstrand
Papers from Matthew R. McLaughlin's perspective
Ordered by how strongly the researchers Matthew R. McLaughlin trusts endorse each paper. Same corpus, a different order for every researcher.
- Empirical Analysis of Predictive Algorithms for Collaborative Filtering
- Analysis of recommendation algorithms for e-commerce (ACM Conference on Economics and Computation)
- An open architecture for collaborative filtering of netnews
- An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms (Information retrieval (Boston))
- Item-based collaborative filtering recommendation algorithms
- Evaluating collaborative filtering recommender systems
- The Scope and Importance of Human Interruption in Human-Computer Interaction Design (Hum. Comput. Interact.)
- "Constant, constant, multi-tasking craziness": managing multiple working spheres (International Conference on Human Factors in Computing Systems)
- A diary study of task switching and interruptions (International Conference on Human Factors in Computing Systems)
- Taking email to task: the design and evaluation of a task management centered email tool (International Conference on Human Factors in Computing Systems)
Their papers
- TaskTracer: a desktop environment to support multi-tasking knowledge workers (2005) — 295 citations
- A collaborative filtering algorithm and evaluation metric that accurately model the user experience (2004) — 385 citations