Travelled to:1 × Spain
1 × Switzerland
2 × USA
Collaborated with:D.Tikk G.Takács D.Zibriczky B.Németh
Talks about:implicit (2) feedback (2) matrix (2) factor (2) base (2) recommend (1) algorithm (1) neighbor (1) metadata (1) gradient (1)
Person: István Pilászy
DBLP: Pil=aacute=szy:Istv=aacute=n
Contributed to:
2011201020092008Wrote 4 papers:
- 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.