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Travelled to:
1 × Ireland
1 × Spain
1 × Switzerland
3 × USA
Collaborated with:
I.Pilászy G.Takács A.Said A.Hotho D.Zibriczky S.Dooms B.Loni B.Németh
Talks about:
recommend (3) challeng (3) implicit (2) feedback (2) system (2) matrix (2) factor (2) base (2) algorithm (1) neighbor (1)

Person: Domonkos Tikk

DBLP DBLP: Tikk:Domonkos

Contributed to:

RecSys 20142014
RecSys 20122012
RecSys 20112011
RecSys 20102010
RecSys 20092009
RecSys 20082008

Wrote 7 papers:

RecSys-2014-SaidDLT #challenge #recommendation
Recommender systems challenge 2014 (AS, SD, BL, DT), pp. 387–388.
RecSys-2012-SaidTH #challenge #recommendation
The challenge of recommender systems challenges (AS, DT, AH), pp. 9–10.
RecSys-2012-TakacsT #personalisation #ranking
Alternating least squares for personalized ranking (GT, DT), pp. 83–90.
RecSys-2011-TakacsPT #collaboration #feedback
Applications of the conjugate gradient method for implicit feedback collaborative filtering (GT, IP, DT), pp. 297–300.
RecSys-2010-PilaszyZT #dataset #feedback #matrix #performance
Fast als-based matrix factorization for explicit and implicit feedback datasets (IP, DZ, DT), pp. 71–78.
RecSys-2009-PilaszyT #metadata #recommendation
Recommending new movies: even a few ratings are more valuable than metadata (IP, DT), pp. 93–100.
RecSys-2008-TakacsPNT #algorithm #matrix #problem
Matrix factorization and neighbor based algorithms for the netflix prize problem (GT, IP, BN, DT), pp. 267–274.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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