Stem start$ (all stems)

64 papers:

CASE-2015-PanZQ #clustering #how #process #tool support

How to start-up dual-arm cluster tools involving a wafer revisiting process (CP, MZ, YQ), pp. 1194–1199.

KDD-2015-ChuHTLL #classification #linear #parametricity

Warm Start for Parameter Selection of Linear Classifiers (BYC, CHH, CHT, CYL, CJL), pp. 149–158.

KDD-2015-ZhangW #recommendation

A Collective Bayesian Poisson Factorization Model for Cold-start Local Event Recommendation (WZ, JW), pp. 1455–1464.

RecSys-2015-AharonAADGS #named #recommendation

ExcUseMe: Asking Users to Help in Item Cold-Start Recommendations (MA, OA, NAE, DDC, SG, OS), pp. 83–90.

RecSys-2015-BarjastehFMER #recommendation

Cold-Start Item and User Recommendation with Decoupled Completion and Transduction (IB, RF, FM, AHE, HR), pp. 91–98.

RecSys-2015-GrausW #elicitation #experience #user interface

Improving the User Experience during Cold Start through Choice-Based Preference Elicitation (MPG, MCW), pp. 273–276.

ICSE-v1-2015-TufanoPBOPLP #smell #why

When and Why Your Code Starts to Smell Bad (MT, FP, GB, RO, MDP, ADL, DP), pp. 403–414.

CGO-2015-ShresthaGMMF #concurrent #locality

Locality aware concurrent start for stencil applications (SS, GRG, JM, AM, JF), pp. 157–166.

CIKM-2014-ZhaoCWZNW #named #social

SocialTransfer: Transferring Social Knowledge for Cold-Start Cowdsourcing (ZZ, JC, FW, MZ, WN, YW), pp. 779–788.

ICML-c2-2014-HoulsbyHG #learning #matrix #robust

Cold-start Active Learning with Robust Ordinal Matrix Factorization (NH, JMHL, ZG), pp. 766–774.

RecSys-2014-Braunhofer #recommendation

Hybridisation techniques for cold-starting context-aware recommender systems (MB), pp. 405–408.

RecSys-2014-BraunhoferCR #hybrid #recommendation

Switching hybrid for cold-starting context-aware recommender systems (MB, VC, FR), pp. 349–352.

RecSys-2014-SaveskiM #learning #recommendation

Item cold-start recommendations: learning local collective embeddings (MS, AM), pp. 89–96.

RecSys-2014-SedhainSBXC #collaboration #recommendation #social

Social collaborative filtering for cold-start recommendations (SS, SS, DB, LX, JC), pp. 345–348.

RecSys-2014-TrevisiolASJ #graph #recommendation

Cold-start news recommendation with domain-dependent browse graph (MT, LMA, RS, AJ), pp. 81–88.

SEKE-2014-TianWHZG #feedback #recommendation #using #web #web service

Cold-Start Web Service Recommendation Using Implicit Feedback (GT, JW, KH, WZ, PG), pp. 371–376.

SIGIR-2014-ZhangTZX #algorithm #recommendation

Addressing cold start in recommender systems: a semi-supervised co-training algorithm (MZ, JT, XZ, XX), pp. 73–82.

ITiCSE-2013-German #learning

Jump-starting team-based learning in the computer science classroom (DAG), p. 323.

DUXU-PMT-2013-BrandenburgVD #experience #user interface

User Experience Starts at the Keystroke Level: The Model of User Experience (MUX) (SB, MV, UD), pp. 449–458.

KDD-2013-GaneshapillaiG #data-driven

A data-driven method for in-game decision making in MLB: when to pull a starting pitcher (GG, JVG), pp. 973–979.

KDIR-KMIS-2013-PereiraTBW #enterprise

A Risk Diagnosing Methodology Web-based Tool for SME’s and Start-up Enterprises (LP, AT, JB, JW), pp. 308–317.

RecSys-2013-AharonABLABLRS #named #online #persistent #recommendation #set

OFF-set: one-pass factorization of feature sets for online recommendation in persistent cold start settings (MA, NA, EB, RL, RA, TB, LL, RR, OS), pp. 375–378.

RecSys-2013-Guo #recommendation #similarity #trust

Integrating trust and similarity to ameliorate the data sparsity and cold start for recommender systems (GG), pp. 451–454.

SIGIR-2013-LinSKC #modelling #recommendation #twitter

Addressing cold-start in app recommendation: latent user models constructed from twitter followers (JL, KS, MYK, TSC), pp. 283–292.

SAC-2013-WombacherI #estimation #process

Start time and duration distribution estimation in semi-structured processes (AW, MEI), pp. 1403–1409.

CAV-2013-GantyG #proving #termination

Proving Termination Starting from the End (PG, SG), pp. 397–412.

CASE-2012-ZhangXG #implementation

Promise surgery start times and implementation strategies (ZZ, XX, NG), pp. 143–149.

ICPR-2012-FrouzeshPH #modelling #optimisation

A combined method for finding best starting points for optimisation in bernoulli mixture models (FF, SP, YH), pp. 1128–1131.

RecSys-2012-LeviMDT #recommendation

Finding a needle in a haystack of reviews: cold start context-based hotel recommender system (AL, OM, CD, NT), pp. 115–122.

RecSys-2012-LeviMDT12a #recommendation

Finding a needle in a haystack of reviews: cold start context-based hotel recommender system demo (AL, OM, CD, NT), pp. 305–306.

SAC-2012-SaidJA #collaboration

Analyzing weighting schemes in collaborative filtering: cold start, post cold start and power users (AS, BJJ, SA), pp. 2035–2040.

DATE-2011-MeyerNHBSGSB #configuration management #performance #using

Fast Start-up for Spartan-6 FPGAs using Dynamic Partial Reconfiguration (JM, JN, MH, LB, OS, RMG, RS, JB), pp. 1542–1547.

RecSys-2011-LiuMLY #elicitation #rating #recommendation

Wisdom of the better few: cold start recommendation via representative based rating elicitation (NNL, XM, CL, QY), pp. 37–44.

SIGIR-2011-ZhouYZ #functional #matrix #recommendation

Functional matrix factorizations for cold-start recommendation (KZ, SHY, HZ), pp. 315–324.

DAC-2010-GoodenoughA #design

Post-silicon is too late avoiding the $50 million paperweight starts with validated designs (JG, RA), pp. 8–11.

ITiCSE-2010-FerreGSS

Starting out at university with team projects (XF, AG, MGST, MAS), p. 327.

KDD-2010-LeroyCB #predict

Cold start link prediction (VL, BBC, FB), pp. 393–402.

SIGIR-2010-FernandezPLB #approach #clustering

Where to start filtering redundancy?: a cluster-based approach (RTF, JP, DEL, AB), pp. 735–736.

CGO-2010-Srisa-anCSS #memory management #self

A self-adjusting code cache manager to balance start-up time and memory usage (WSa, MBC, YS, MS), pp. 82–91.

HCI-AUII-2009-BreuerKWPS

Love at First Encounter — Start-Up of New Applications (HB, MK, MW, NP, FS), pp. 585–594.

OCSC-2009-TanakaMF #communication #estimation #multi #online

Supporting Acceptable Dialogue Start Based on User Uninterruptibility Estimation for Avatar-Mediated Multi-tasking Online Communication (TT, KM, KF), pp. 272–281.

RecSys-2009-CremonesiT #analysis #recommendation

Analysis of cold-start recommendations in IPTV systems (PC, RT), pp. 233–236.

RecSys-2009-GivonL #predict #recommendation

Predicting social-tags for cold start book recommendations (SG, VL), pp. 333–336.

RecSys-2009-ParkC #recommendation

Pairwise preference regression for cold-start recommendation (STP, WC), pp. 21–28.

SAC-2009-PinoGP #process

Key processes to start software process improvement in small companies (FJP, FG, MP), pp. 509–516.

RecSys-2008-GunawardanaM #recommendation

Tied boltzmann machines for cold start recommendations (AG, CM), pp. 19–26.

SAC-2008-VictorCTC #recommendation #trust

Whom should I trust?: the impact of key figures on cold start recommendations (PV, CC, AT, MDC), pp. 2014–2018.

SPLC-2008-Dalgarno #clone detection #detection #product line

Jump-Starting Software Product Lines with Clone Detection (AMD), p. 351.

SIGIR-2007-KampsKL #documentation #question #xml

Where to start reading a textual XML document? (JK, MK, ML), pp. 723–724.

KDD-2006-ParkPMGD #recommendation #robust

Naïve filterbots for robust cold-start recommendations (STP, DP, OM, NG, DD), pp. 699–705.

SAC-2005-YimKK #memory management #performance

A fast start-up technique for flash memory based computing systems (KSY, JK, KK), pp. 843–849.

SPLC-2004-JohnS #product line

Starting Product Lines (I) — Systematic Product Line Planning and Adoption (IJ, KS), p. 319.

SPLC-2004-JohnS04a #analysis #modelling #product line

Starting Product Lines (II) — Product Line Analysis and Modeling (IJ, KS), p. 320.

ICEIS-2002-BiderK

If You Wish to Change the World, Start with Yourself (IB, MK), pp. 732–742.

ICEIS-2002-Carballo #estimation

Risk Managment in the New Economy: Estimation and Control of Projects for E-Business and Start-Ups (RC), p. 35.

SIGIR-2002-ScheinPUP #metric #recommendation

Methods and metrics for cold-start recommendations (AIS, AP, LHU, DMP), pp. 253–260.

CSMR-2000-AntoniolCCL #case study #identification #maintenance #set

Identifying the Starting Impact Set of a Maintenance Request: A Case Study (GA, GC, GC, ADL), pp. 227–230.

SPLC-2000-ThielP #approach #product line

Starting a product line approach for an envisioned market (ST, FP), pp. 495–512.

VLDB-1998-Orenstein #database

Starting (and Sometimes Ending) a Database Company (JAO), p. 698.

EDTC-1997-BensoPRRU #approach #fault #graph #low level

A new approach to build a low-level malicious fault list starting from high-level description and alternative graphs (AB, PP, MR, MSR, RU), pp. 560–565.

SIGMOD-1997-GravanoCGP #experience #internet #named

STARTS: Stanford Proposal for Internet Meta-Searching (Experience Paper) (LG, KCCC, HGM, AP), pp. 207–218.

TOOLS-USA-1991-Walling #named

Keynote: Getting Started (KW), p. 6.

ICSE-1991-NormanSCJRF #automation

CASE at the Start of the 1990’s (RJN, WS, EJC, JJ, BLR, GF), pp. 128–139.

ICSE-1990-Bush90a #case study #experience #metric #quality

Getting Started on Metrics — JPL Productivity and Quality (Experience Report) (MWB), pp. 133–142.