`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:

### Wrote 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.