Travelled to:
1 × Australia
1 × Austria
1 × Brazil
1 × Canada
1 × China
1 × France
1 × Italy
1 × Singapore
1 × South Korea
1 × The Netherlands
9 × USA
Collaborated with:
S.T.Dumais E.Adar D.R.Karger M.R.Morris R.W.White D.J.Liebling E.Horvitz M.S.Bernstein D.Kelly F.Radlinski J.Cheng A.Hehmeyer R.Jones M.A.S.Potts P.André W.S.Lasecki E.Kamar C.Lee S.d.l.Chica D.S.Tan S.Bateman K.Panovich S.Bush S.T.Iqbal K.M.Svore A.Kulkarni C.Alvarado M.S.Ackerman J.D.Rennie L.Shih A.Oeldorf-Hirsch B.Hecht D.Gergle A.Livne V.Gokuladas S.Amini A.J.B.Brush J.Krumm A.K.Karlson A.Kotov P.N.Bennett W.Jones R.Capra A.Diekema M.A.Pérez-Quiñones J.D.Dinneen B.M.Hemminger E.Cutrell D.Fisher S.M.Drucker G.Ramos C.Hu
Talks about:
search (18) web (10) person (6) inform (6) behavior (4) retriev (4) analysi (4) queri (4) model (4) use (4)
Person: Jaime Teevan
DBLP: Teevan:Jaime
Contributed to:
Wrote 32 papers:
- CHI-2015-ChengTB #crowdsourcing
- Measuring Crowdsourcing Effort with Error-Time Curves (JC, JT, MSB), pp. 1365–1374.
- CHI-2015-ChengTIB #comparison
- Break It Down: A Comparison of Macro- and Microtasks (JC, JT, STI, MSB), pp. 4061–4064.
- CHI-2015-JonesCDTPDH #delphi #information management #using
- “For Telling” the Present: Using the Delphi Method to Understand Personal Information Management Practices (WJ, RC, AD, JT, MAPQ, JDD, BMH), pp. 3513–3522.
- CSCW-2014-LaseckiTK #information management
- Information extraction and manipulation threats in crowd-powered systems (WSL, JT, EK), pp. 248–256.
- CSCW-2014-Oeldorf-HirschHMTG #network #social
- To search or to ask: the routing of information needs between traditional search engines and social networks (AOH, BH, MRM, JT, DG), pp. 16–27.
- SIGIR-2014-KellyRT #constraints #information retrieval #research
- Choices and constraints: research goals and approaches in information retrieval (part 1) (DK, FR, JT), p. 1283.
- SIGIR-2014-KellyRT14a #constraints #information retrieval #research
- Choices and constraints: research goals and approaches in information retrieval (part 2) (DK, FR, JT), p. 1284.
- SIGIR-2014-LeeTC #behaviour #multi #risk management
- Characterizing multi-click search behavior and the risks and opportunities of changing results during use (CJL, JT, SdlC), pp. 515–524.
- SIGIR-2014-LivneGTDA #difference #named #recommendation #using
- CiteSight: supporting contextual citation recommendation using differential search (AL, VG, JT, STD, EA), pp. 807–816.
- CHI-2013-AdarTT #interactive
- Benevolent deception in human computer interaction (EA, DST, JT), pp. 1863–1872.
- CSCW-2013-TeevanH #communication #comprehension #how
- Understanding how the projection of availability state impacts the reception incoming communication (JT, AH), pp. 753–758.
- CHI-2012-AminiBKTK #mobile
- Trajectory-aware mobile search (SA, AJBB, JK, JT, AKK), pp. 2561–2564.
- CHI-2012-BatemanTW #behaviour #comparison #how
- The search dashboard: how reflection and comparison impact search behavior (SB, JT, RWW), pp. 1785–1794.
- CHI-2012-BernsteinTDLH #query
- Direct answers for search queries in the long tail (MSB, JT, STD, DJL, EH), pp. 237–246.
- SIGIR-2012-SvoreTDK #web
- Creating temporally dynamic web search snippets (KMS, JT, STD, AK), pp. 1045–1046.
- SIGIR-2011-KotovBWDT #analysis #modelling
- Modeling and analysis of cross-session search tasks (AK, PNB, RWW, STD, JT), pp. 5–14.
- CHI-2010-MorrisTP #behaviour #network #overview #people #social #what #why
- What do people ask their social networks, and why?: a survey study of status message q&a behavior (MRM, JT, KP), pp. 1739–1748.
- CHI-2010-TeevanDL #how #interactive #people #web
- A longitudinal study of how highlighting web content change affects people’s web interactions (JT, STD, DJL), pp. 1353–1356.
- CHI-2009-AdarTD #web
- Resonance on the web: web dynamics and revisitation patterns (EA, JT, STD), pp. 1381–1390.
- CHI-2009-AndreTD #web
- From x-rays to silly putty via Uranus: serendipity and its role in web search (PA, JT, STD), pp. 2033–2036.
- CHI-2009-TeevanCFDRAH #visual notation #web
- Visual snippets: summarizing web pages for search and revisitation (JT, EC, DF, SMD, GR, PA, CH), pp. 2023–2032.
- CHI-2008-AdarTD #analysis #scalability #web
- Large scale analysis of web revisitation patterns (EA, JT, STD), pp. 1197–1206.
- CSCW-2008-MorrisTB #collaboration #personalisation #web
- Enhancing collaborative web search with personalization: groupization, smart splitting, and group hit-highlighting (MRM, JT, SB), pp. 481–484.
- SIGIR-2008-TeevanDL #modelling #personalisation #query
- To personalize or not to personalize: modeling queries with variation in user intent (JT, STD, DJL), pp. 163–170.
- SIGIR-2008-WhiteDT #how #interactive #web
- How medical expertise influences web search interaction (RWW, STD, JT), pp. 791–792.
- SIGIR-2007-TeevanAJP #query
- Information re-retrieval: repeat queries in Yahoo’s logs (JT, EA, RJ, MASP), pp. 151–158.
- SIGIR-2007-TeevanDH #personalisation
- Characterizing the value of personalizing search (JT, STD, EH), pp. 757–758.
- SIGIR-2006-TeevanAJP #query
- History repeats itself: repeat queries in Yahoo’s logs (JT, EA, RJ, MASP), pp. 703–704.
- SIGIR-2005-TeevanDH #analysis #automation #personalisation #process
- Personalizing search via automated analysis of interests and activities (JT, STD, EH), pp. 449–456.
- CHI-2004-TeevanAAK #behaviour #case study
- The perfect search engine is not enough: a study of orienteering behavior in directed search (JT, CA, MSA, DRK), pp. 415–422.
- ICML-2003-RennieSTK #classification #naive bayes
- Tackling the Poor Assumptions of Naive Bayes Text Classifiers (JDR, LS, JT, DRK), pp. 616–623.
- SIGIR-2003-TeevanK #analysis #development #empirical #exponential #probability #retrieval #using
- Empirical development of an exponential probabilistic model for text retrieval: using textual analysis to build a better model (JT, DRK), pp. 18–25.