Jaime Teevan
Information Systems · 2003–2020
A researcher in the Science corpus: 21 papers; trusts 42 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 88 citations into it; #1,283 of 8,771 by trust here, #535 by citations
- Artificial Intelligence — 53 citations into it; #26,041 of 35,345 by trust here, #13,544 by citations
- Communication — 27 citations into it
- Information Systems and Management — 23 citations into it; #1,110 of 3,842 by trust here, #594 by citations
- Human-Computer Interaction — 22 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
- Statistical and Nonlinear Physics — 19 citations into it
- Computer Science Applications — 18 citations into it; #806 of 1,855 by trust here, #297 by citations
Whom Jaime Teevan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kalervo Järvelin
- Susan T. Dumais
- Jon M. Kleinberg
- Andrei Z. Broder
- Taher H. Haveliwala
- J. Fleiss
- Nicola Stokes
- Yun Zhou
- Glen Jeh
- W. Bruce Croft
Who trusts Jaime Teevan overall
- Ryen W. White
- Donna K. Harman
- Susan T. Dumais
- Meredith Ringel Morris
- Bernard Jim Jansen
- Fabrizio Silvestri
- Nicholas J. Belkin
- Paul N. Bennett
- Anthony David Jameson
- Jeff Huang
Papers from Jaime Teevan's perspective
Ordered by how strongly the researchers Jaime Teevan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Latent Dirichlet Allocation
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Chain Reactions: The Impact of Order on Microtask Chains (2016) — 71 citations
- Guidelines for Human-AI Interaction (2019) — 2,339 citations
- Understanding User Behavior Through Log Data and Analysis (2014) — 134 citations
- Productivity Decomposed: Getting Big Things Done with Little Microtasks (2016) — 28 citations
- The effects of remote work on collaboration among information workers (2020) — 622 citations
- Communicating Context to the Crowd for Complex Writing Tasks (2017) — 37 citations
- Break It Down: A Comparison of Macro- and Microtasks (2015) — 153 citations
- To search or to ask: the routing of information needs between traditional search engines and social networks (2014) — 72 citations
- Towards Supporting Search over Trending Events with Social Media (2013) — 45 citations
- Modeling and predicting behavioral dynamics on the web (2012) — 157 citations
- #TwitterSearch: a comparison of microblog search and web search (2011) — 424 citations
- Culture Matters: A Survey Study of Social Q&A Behavior (2011) — 125 citations
- Potential for personalization (2010) — 174 citations
- What do people ask their social networks, and why?: a survey study of status message q&a behavior (2010) — 728 citations
- Characterizing the influence of domain expertise on web search behavior (2009) — 361 citations
- To personalize or not to personalize: modeling queries with variation in user intent (2008) — 334 citations
- Information re-retrieval: repeat queries in Yahoo's logs (2007) — 369 citations
- Personalizing search via automated analysis of interests and activities (2005) — 905 citations
- The perfect search engine is not enough: a study of orienteering behavior in directed search (2004) — 693 citations
- Implicit feedback for inferring user preference: a bibliography (2003) — 848 citations