Travelled to:
1 × China
1 × Ireland
4 × USA
Collaborated with:
U.Paquet Y.Koren Y.Shavitt N.Nice R.Ronen E.Ziklik P.Ram G.Dror T.Tankel N.Schleyen M.Sitruk R.Yaari N.Haiby-Weiss Y.Bachrach Y.Finkelstein R.Gilad-Bachrach L.Katzir
Talks about:
recommend (8) xbox (3) system (2) select (2) matrix (2) featur (2) factor (2) music (2) item (2) use (2)
Person: Noam Koenigstein
DBLP: Koenigstein:Noam
Contributed to:
Wrote 9 papers:
- RecSys-2014-BachrachFGKKNP #recommendation #using
- Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces (YB, YF, RGB, LK, NK, NN, UP), pp. 257–264.
- RecSys-2013-KoenigsteinK #recommendation #scalability #towards
- Towards scalable and accurate item-oriented recommendations (NK, YK), pp. 419–422.
- RecSys-2013-KoenigsteinP #embedded #feature model #matrix #recommendation
- Xbox movies recommendations: variational bayes matrix factorization with embedded feature selection (NK, UP), pp. 129–136.
- RecSys-2013-RonenKZN #collaboration #recommendation
- Selecting content-based features for collaborative filtering recommenders (RR, NK, EZ, NN), pp. 407–410.
- RecSys-2013-RonenKZSYH #named #recommendation
- Sage: recommender engine as a cloud service (RR, NK, EZ, MS, RY, NHW), pp. 475–476.
- CIKM-2012-KoenigsteinRS #framework #matrix #performance #recommendation #retrieval
- Efficient retrieval of recommendations in a matrix factorization framework (NK, PR, YS), pp. 535–544.
- RecSys-2012-KoenigsteinNPS #recommendation
- The Xbox recommender system (NK, NN, UP, NS), pp. 281–284.
- RecSys-2011-KoenigsteinDK #exclamation #modelling #music #recommendation #taxonomy
- Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy (NK, GD, YK), pp. 165–172.
- KDD-2008-KoenigsteinST #analysis #query #string #using
- Spotting out emerging artists using geo-aware analysis of P2P query strings (NK, YS, TT), pp. 937–945.