Travelled to:
1 × Australia
1 × Austria
1 × Chile
1 × Ireland
1 × Russia
1 × The Netherlands
6 × USA
Collaborated with:
N.Asadi M.Efron Y.Wang A.P.d.Vries G.Mishne A.Deshpande H.Mühleisen T.Samar A.Kolcz J.Rao E.M.Voorhees A.Quamar M.Busch R.Snow W.Morgan G.Sherman J.He P.O.Boykin S.Ritchie I.O'Connell K.A.Kumar J.Gluck J.Dalton Z.Li A.Sharma G.Lee C.Liu A.Lorek D.V.Ryaboy R.McCreadie I.Soboroff C.Macdonald I.Ounis D.McCullough P.Gupta V.Satuluri A.Grewal S.Gurumurthy V.Zhabiuk Q.Li
Talks about:
twitter (6) tweet (6) search (4) time (4) real (4) generat (3) scale (3) onlin (3) larg (3) data (3)
Person: Jimmy Lin
DBLP: Lin:Jimmy
Contributed to:
Wrote 21 papers:
- ECIR-2015-RaoLE #feedback #twitter
- Reproducible Experiments on Lexical and Temporal Feedback for Tweet Search (JR, JL, ME), pp. 755–767.
- SIGIR-2015-WangSLE #difference #generative #timeline #twitter
- Assessor Differences and User Preferences in Tweet Timeline Generation (YW, GS, JL, ME), pp. 615–624.
- ECIR-2014-MuhleisenSLV #information retrieval #prototype
- Column Stores as an IR Prototyping Tool (HM, TS, JL, APdV), pp. 789–792.
- ECIR-2014-WangL #realtime #statistics #twitter
- The Impact of Future Term Statistics in Real-Time Tweet Search (YW, JL), pp. 567–572.
- SIGIR-2014-EfronLHV #estimation #feedback #parametricity #twitter
- Temporal feedback for tweet search with non-parametric density estimation (ME, JL, JH, APdV), pp. 33–42.
- SIGIR-2014-MuhleisenSLV #information retrieval #prototype
- Old dogs are great at new tricks: column stores for ir prototyping (HM, TS, JL, APdV), pp. 863–866.
- SIGIR-2014-VoorheesLE #as a service #evaluation #on the
- On run diversity in Evaluation as a Service (EMV, JL, ME), pp. 959–962.
- VLDB-2014-BoykinROL #framework #named #online #pipes and filters
- Summingbird: A Framework for Integrating Batch and Online MapReduce Computations (POB, SR, IO, JL), pp. 1441–1451.
- VLDB-2014-GuptaSGGZLL #detection #graph #online #realtime #recommendation #scalability #twitter
- Real-Time Twitter Recommendation: Online Motif Detection in Large Dynamic Graphs (PG, VS, AG, SG, VZ, QL, JL), pp. 1379–1380.
- VLDB-2014-QuamarDL #graph #named #scalability
- NScale: Neighborhood-centric Analytics on Large Graphs (AQ, AD, JL), pp. 1673–1676.
- ECIR-2013-AsadiL #documentation #modelling #performance #ranking
- Training Efficient Tree-Based Models for Document Ranking (NA, JL), pp. 146–157.
- KDD-2013-AsadiLB #memory management #policy #realtime #twitter
- Dynamic memory allocation policies for postings in real-time Twitter search (NA, JL, MB), pp. 1186–1194.
- SIGIR-2013-AsadiL #architecture #effectiveness #generative #multi #performance #retrieval #trade-off
- Effectiveness/efficiency tradeoffs for candidate generation in multi-stage retrieval architectures (NA, JL), pp. 997–1000.
- SIGMOD-2013-MishneDLSL #architecture #big data #performance #query #realtime #twitter
- Fast data in the era of big data: Twitter’s real-time related query suggestion architecture (GM, JD, ZL, AS, JL), pp. 1147–1158.
- VLDB-2013-KumarGDL #named #scalability
- Hone: “Scaling Down” Hadoop on Shared-Memory Systems (KAK, JG, AD, JL), pp. 1354–1357.
- CIKM-2012-AsadiL #documentation #generative #performance #ranking
- Fast candidate generation for two-phase document ranking: postings list intersection with bloom filters (NA, JL), pp. 2419–2422.
- SIGIR-2012-McCreadieSLMOM #corpus #on the #reuse #twitter
- On building a reusable Twitter corpus (RM, IS, JL, CM, IO, DM), pp. 1113–1114.
- SIGIR-2012-MishneL #case study #twitter
- Twanchor text: a preliminary study of the value of tweets as anchor text (GM, JL), pp. 1159–1160.
- SIGMOD-2012-LinK #machine learning #scalability #twitter
- Large-scale machine learning at twitter (JL, AK), pp. 793–804.
- VLDB-2012-LeeLLLR #data analysis #framework #twitter
- The Unified Logging Infrastructure for Data Analytics at Twitter (GL, JL, CL, AL, DVR), pp. 1771–1780.
- KDD-2011-LinSM #adaptation #modelling #online #topic #twitter
- Smoothing techniques for adaptive online language models: topic tracking in tweet streams (JL, RS, WM), pp. 422–429.