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Travelled to:
1 × Brazil
1 × France
1 × Ireland
1 × Switzerland
2 × China
2 × Italy
4 × USA
Collaborated with:
S.Rendle E.Diaz-Aviles W.Nejdl L.Drumond C.Freudenthaler L.B.Marinho Z.Gantner A.Nanopoulos K.H.L.Tso-Sutter C.Ziegler G.Lausen L.R.Drumond J.Grabocka N.Schilling M.Wistuba R.Karimi A.Stewart
Talks about:
recommend (9) factor (6) system (4) learn (3) tag (3) tensor (2) social (2) matrix (2) relat (2) optim (2)

Person: Lars Schmidt-Thieme

DBLP DBLP: Schmidt-Thieme:Lars

Facilitated 1 volumes:

RecSys 2009Ed

Contributed to:

CIKM 20142014
KDD 20142014
CIKM 20122012
RecSys 20122012
SAC 20122012
RecSys 20112011
SIGIR 20112011
Hypertext 20092009
KDD 20092009
RecSys 20082008
SAC 20082008
CIKM 20042004

Wrote 13 papers:

CIKM-2014-DrumondDSN #modelling #multi #optimisation
Optimizing Multi-Relational Factorization Models for Multiple Target Relations (LRD, EDA, LST, WN), pp. 191–200.
KDD-2014-GrabockaSWS #learning
Learning time-series shapelets (JG, NS, MW, LST), pp. 392–401.
CIKM-2012-Diaz-AvilesDGSN #online #recommendation #topic #twitter #what
What is happening right now ... that interests me?: online topic discovery and recommendation in twitter (EDA, LD, ZG, LST, WN), pp. 1592–1596.
RecSys-2012-Diaz-AvilesDSN #realtime #recommendation #social
Real-time top-n recommendation in social streams (EDA, LD, LST, WN), pp. 59–66.
RecSys-2012-KarimiFNS #learning #matrix #recommendation
Exploiting the characteristics of matrix factorization for active learning in recommender systems (RK, CF, AN, LST), pp. 317–320.
SAC-2012-DrumondRS #information management #knowledge base #predict #rdf
Predicting RDF triples in incomplete knowledge bases with tensor factorization (LD, SR, LST), pp. 326–331.
RecSys-2011-GantnerRFS #library #named #recommendation
MyMediaLite: a free recommender system library (ZG, SR, CF, LST), pp. 305–308.
SIGIR-2011-RendleGFS #performance #recommendation
Fast context-aware recommendations with factorization machines (SR, ZG, CF, LST), pp. 635–644.
HT-2009-StewartDNMNS #network #personalisation #social
Cross-tagging for personalized open social networking (AS, EDA, WN, LBM, AN, LST), pp. 271–278.
KDD-2009-RendleMNS #learning #ranking #recommendation
Learning optimal ranking with tensor factorization for tag recommendation (SR, LBM, AN, LST), pp. 727–736.
RecSys-2008-RendleS #kernel #matrix #modelling #recommendation #scalability
Online-updating regularized kernel matrix factorization models for large-scale recommender systems (SR, LST), pp. 251–258.
SAC-2008-Tso-SutterMS #algorithm #collaboration #recommendation
Tag-aware recommender systems by fusion of collaborative filtering algorithms (KHLTS, LBM, LST), pp. 1995–1999.
CIKM-2004-ZieglerLS #recommendation
Taxonomy-driven computation of product recommendations (CNZ, GL, LST), pp. 406–415.
Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.