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Travelled to:
1 × France
1 × Italy
1 × Switzerland
1 × USA
2 × China
Collaborated with:
L.Schmidt-Thieme ∅ Z.Gantner C.Freudenthaler T.Silbermann I.Bayer L.Drumond L.B.Marinho A.Nanopoulos
Talks about:
recommend (5) factor (5) system (3) tensor (2) machin (2) scale (2) base (2) incomplet (1) knowledg (1) regular (1)

Person: Steffen Rendle

DBLP DBLP: Rendle:Steffen

Contributed to:

RecSys 20132013
VLDB 20132013
SAC 20122012
RecSys 20112011
SIGIR 20112011
KDD 20092009
RecSys 20082008

Wrote 7 papers:

RecSys-2013-SilbermannBR #recommendation
Sample selection for MCMC-based recommender systems (TS, IB, SR), pp. 403–406.
VLDB-2013-Rendle #relational #scalability
Scaling Factorization Machines to Relational Data (SR), pp. 337–348.
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.
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.
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.