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Big Data Startup Accelerator Program
SAP innovationStudio MSU FE
07 2015
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 1 / 17
:
1
(PC).
. (,
, F-. ).
2
(SVD).
MAE
.
3
-.
.
1
SVD, SVD++ time-SVD. .
2
.
3
- .
4
PC .
5
.
6
. .
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 2 / 17
1
Case-study
. User-based item-based . .
BMF & SVD
2
?
, ,
-
3
SVD. .
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 3 / 17
Case-study 1:
(PC).
. (,
, F-. ).
Dmitry I. Ignatov, Jonas Poelmans, Guido Dedene, Stijn Viaene: A New
Cross-Validation Technique to Evaluate Quality of Recommender Systems.
PerMIn 2012: 195-202.
. ., . ., . .
- //
-2010, . 1. . : , 2010. . 175-182.
.
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 4 / 17
Case-study 2: BMF & SVD
(SVD).
MAE
.
Dmitry I. Ignatov, Elena Nenova, Natalia Konstantinova, Andrey V.
Konstantinov: Boolean Matrix Factorisation for Collaborative Filtering: An
FCA-Based Approach. AIMSA 2014: 47-58
Elena Nenova, Dmitry I. Ignatov, Andrey V. Konstantinov: An FCA-based
Boolean Matrix Factorisation for Collaborative Filtering. FCA Meets IR 2013:
P. 57-73
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 5 / 17
Case-study 3:
-.
Dmitry I. Ignatov, Sergey I. Nikolenko, Taimuraz Abaev, Natalia
Konstantinova: Online Recommender System for Radio Station Hosting:
Experimental Results Revisited. WI-IAT (2) 2014: 229-236
Dmitry I. Ignatov, Andrey V. Konstantinov, Sergey I. Nikolenko, Jonas
Poelmans, Vasily Zaharchuk: Online Recommender System for Radio Station
Hosting. BIR 2012: 1-12
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 6 / 17
1
Case-study
. User-based item-based . .
BMF & SVD
2
?
, ,
-
3
SVD. .
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 7 / 17
?
Recommender Systems Handbook, 2011 First comprehensive handbook
dedicated entirely to the eld of recommender systems.
O.Celma. Music Recommendation and Discovery, 2010 . . . this book
presents the state of the art of all the dierent techniques used to recommend
items, focusing on the music domain as the underlying application.
. . 2, 2012(2008)
Greg Linden et al. Amazon.com Recommendations: Item-to-Item
Collaborative Filtering. Industry Report. 2003
Y. Koren, Matrix Factorization Techniques for Recommender Systems, IEEE
Computer, 2009
Habrahabr
. . .
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 8 / 17
, ,
RecSys
RecSys Wiki
International Society for Music Information Retrieval (ISMIR)
J.A. Konstan, M.D. Ekstrand. Introduction to Recommender Systems.
Coursera
.. .
, 2014
.. .
. . .
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 9 / 17
Retail Rocket
- big data,
Ozon.ru Wikimart.ru
Surngbird -
Gravity Rock Solid Recommendations is a fast-growing company that
helps customers with its state-of-the-art recommendation solutions.
. . .
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 10 / 17
RecSys Challenge 2015
Group Lens Datasets
ECML/PKDD Discovery Challenge 2011
BibSonomy :: dumps for research purposes
Million Song Dataset Challenge
Job Recommendation Challenge at Kaggle
. . .
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 11 / 17
-
MyMediaLite
Easyrec
Python-recsys
LibRec
LensKit
MRec
SVDFeature
. . .
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 12 / 17
1
Case-study
. User-based item-based . .
BMF & SVD
2
?
, ,
-
3
SVD. .
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 13 / 17
SVD. .
Yehuda Koren, Robert M. Bell: Advances in Collaborative Filtering. Recommender
Systems Handbook 2011: 145-186
:
rui = + bi + bu + qTi pu
:
minb,q,p
=
(u,i)R(rui bi bu qTi pu)2 + (b2i + b2u + ||qi ||2 + ||pu||2),
R = {(u, i)| rui } :
eui = rui rui
bu bu + (eui bu)bi bi + (eui bi )qi qi + (eui pu qi )pu pu + (eui qi pu)
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 14 / 17
Gediminas Adomavicius, Alexander Tuzhilin: Context-Aware Recommender
Systems. Recommender Systems Handbook 2011: 217-253
User Item Time ( )
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 15 / 17
G. Adomavicius, A. Tuzhilin, 2011(2005)
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 16 / 17
www.hse.ru/staff/dima
!
dmitrii.ignatov[at]gmail.com
dignatov[at]hse.ru
(SAP & innovationStudio MSU FE) Big Data Startup Accelerator Program 07.03.2015 17 / 17
Case-study. User-based item-based . .BMF & SVD
?, , -
SVD. .