42 papers:
DUXU-DD-2015-BystrickyB- The Cold Desert of Software Reality (JB, JB), pp. 3–11.
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.
VLDB-2014-EldawyLL #database- Trekking Through Siberia: Managing Cold Data in a Memory-Optimized Database (AE, JJL, PÅL), pp. 931–942.
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.
OSDI-2014-BalakrishnanBDEGHLOPR #named- Pelican: A Building Block for Exascale Cold Data Storage (SB, RB, AD, PE, AG, DH, SL, AO, EP, AITR), pp. 351–365.
- VLDB-2013-AlexiouKL #adaptation
- Adaptive Range Filters for Cold Data: Avoiding Trips to Siberia (KA, DK, PÅL), pp. 1714–1725.
- 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.
HPCA-2013-ZebchukCTSM #named- RECAP: A region-based cure for the common cold (cache) (JZ, HWC, XT, VS, AM), pp. 83–94.
CHI-2012-HalveyWBH #feedback #quote- “Baby it’s cold outside”: the influence of ambient temperature and humidity on thermal feedback (MH, GW, SAB, SAH), pp. 715–724.
- 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.
ICSE-2012-ForbesKR #challenge #navigation #open source #research- When open source turns cold on innovation — The challenges of navigating licensing complexities in new research domains (CF, IK, JR), pp. 1447–1448.
- HIMI-v1-2011-NakanishiY #using
- Applicability of Touch Sense Controllers Using Warm and Cold Sensations (MN, SY), pp. 470–477.
ICEIS-v4-2011-LiangY #enterprise #how- How to Control the Distribution Cost of the Cold Chain Logistics Enterprise (SXL, GY), pp. 716–719.
- 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.
- KDD-2010-LeroyCB #predict
- Cold start link prediction (VL, BBC, FB), pp. 393–402.
- 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.
- 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.
- RecSys-2007-NguyenDB #induction #recommendation #rule-based
- Improving new user recommendations with rule-based induction on cold user data (ATN, ND, CB), pp. 121–128.
- KDD-2006-ParkPMGD #recommendation #robust
- Naïve filterbots for robust cold-start recommendations (STP, DP, OM, NG, DD), pp. 699–705.
- SIGIR-2002-ScheinPUP #metric #recommendation
- Methods and metrics for cold-start recommendations (AIS, AP, LHU, DMP), pp. 253–260.
VDME-1991-1-Bril #algebra #specification #using- A Model-Oriented Method for Algebraic Specification using COLD-1 as Notation (RJB), pp. 106–124.
- VDME-1991-1-MiddelburgL #comparison #logic
- LPF and MPLω — A Logical Comparison of VDM SL and COLD-K (CAM, GRRdL), pp. 279–308.
ESEC-1991-Linden #specification- Specification in COLD-1 of a CAD-Package for Drawing Shadow Masks (FvdL), pp. 101–121.
