4 papers:
DUXU-DD-2015-JacksonAFGM #case study #streaming- A User Study of Netflix Streaming (FJ, RA, YF, JEG, JM), pp. 481–489.
KDD-2009-DaruruMWG #clustering #data flow #data mining #mining #parallel #pervasive #scalability- Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data (SD, NMM, MW, JG), pp. 1115–1124.
- KDD-2009-McSherryM #privacy #recommendation
- Differentially Private Recommender Systems: Building Privacy into the Netflix Prize Contenders (FM, IM), pp. 627–636.
RecSys-2008-TakacsPNT #algorithm #matrix #problem- Matrix factorization and neighbor based algorithms for the netflix prize problem (GT, IP, BN, DT), pp. 267–274.
