Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

67

ICDM
2008
IEEE

84views Data Mining» more ICDM 2008»

Investigation of Various Matrix Factorization Methods for Large Recommender Systems

15 years 10 months ago

Investigation of Various Matrix Factorization Methods for Large Recommender Systems

Download www.sze.hu

Gábor Takács, István Pil&aacu

Real-time Traffic

Data Mining | ICDM 2008 |

claim paper

Related Content

» SoRec social recommendation using probabilistic matrix factorization

» Modeling relationships at multiple scales to improve accuracy of large recommender systems

» Recommending based on rating frequencies

» Learning recommender systems with adaptive regularization

» Collaborative location and activity recommendations with GPS history data

» Learning to recommend with trust and distrust relationships

» Learning to recommend with social trust ensemble

» TagRec Leveraging Tagging Wisdom for Recommendation

» Using Temporal Information in Collaborative Filtering An Empirical Study

Post Info
More Details (n/a)

Added	30 May 2010
Updated	30 May 2010
Type	Conference
Year	2008
Where	ICDM
Authors	Gábor Takács, István Pilászy, Bottyán Németh, Domonkos Tikk

Comments (0)