-
1
-
-
20844435854
-
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
-
G. Adomavicius and A. Tuzhilin. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. TKDE, 2005.
-
(2005)
TKDE
-
-
Adomavicius, G.1
Tuzhilin, A.2
-
6
-
-
33645146449
-
Histograms of oriented gradients for human detection
-
N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
-
(2005)
CVPR
-
-
Dalal, N.1
Triggs, B.2
-
7
-
-
84877760312
-
Large scale distributed deep networks
-
J. Dean, G. Corrado, R. Monga, K. Chen, M. Devin, M. Mao, A. Senior, P. Tucker, K. Yang, Q. V. Le, et al. Large scale distributed deep networks. In NIPS, 2012.
-
(2012)
NIPS
-
-
Dean, J.1
Corrado, G.2
Monga, R.3
Chen, K.4
Devin, M.5
Mao, M.6
Senior, A.7
Tucker, P.8
Yang, K.9
Le, Q.V.10
-
8
-
-
85198028989
-
Imagenet: A large-scale hierarchical image database
-
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. Imagenet: A large-scale hierarchical image database. In CVPR, 2009.
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.-J.4
Li, K.5
Fei-Fei, L.6
-
9
-
-
3042821101
-
Item-based top-n recommendation algorithms
-
M. Deshpande and G. Karypis. Item-based top-n recommendation algorithms. TOIS, 2004.
-
(2004)
TOIS
-
-
Deshpande, M.1
Karypis, G.2
-
10
-
-
84919881041
-
Decaf: A deep convolutional activation feature for generic visual recognition
-
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell. Decaf: A deep convolutional activation feature for generic visual recognition. In ICML, 2014.
-
(2014)
ICML
-
-
Donahue, J.1
Jia, Y.2
Vinyals, O.3
Hoffman, J.4
Zhang, N.5
Tzeng, E.6
Darrell, T.7
-
11
-
-
84959203754
-
Collaborative feature learning from social media
-
C. Fang, H. Jin, J. Yang, and Z. Lin. Collaborative feature learning from social media. In CVPR, 2015.
-
(2015)
CVPR
-
-
Fang, C.1
Jin, H.2
Yang, J.3
Lin, Z.4
-
13
-
-
67049164166
-
Collaborative filtering for implicit feedback datasets
-
Y. Hu, Y. Koren, and C. Volinsky. Collaborative filtering for implicit feedback datasets. In ICDM, 2008.
-
(2008)
ICDM
-
-
Hu, Y.1
Koren, Y.2
Volinsky, C.3
-
14
-
-
85009867858
-
Caffe: Convolutional architecture for fast feature embedding
-
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. In ACM MM, 2014.
-
(2014)
ACM MM
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.6
Guadarrama, S.7
Darrell, T.8
-
15
-
-
85008044987
-
Matrix factorization techniques for recommender systems
-
Y. Koren, R. Bell, and C. Volinsky. Matrix factorization techniques for recommender systems. Computer, 2009.
-
(2009)
Computer
-
-
Koren, Y.1
Bell, R.2
Volinsky, C.3
-
16
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012.
-
(2012)
NIPS
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
18
-
-
84898956512
-
Distributed representations of words and phrases and their compositionality
-
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. Distributed representations of words and phrases and their compositionality. In Advances in Neural Information Processing Systems, 2013.
-
(2013)
Advances in Neural Information Processing Systems
-
-
Mikolov, T.1
Sutskever, I.2
Chen, K.3
Corrado, G.S.4
Dean, J.5
-
19
-
-
48349135120
-
Probabilistic matrix factorization
-
A. Mnih and R. Salakhutdinov. Probabilistic matrix factorization. In NIPS, 2007.
-
(2007)
NIPS
-
-
Mnih, A.1
Salakhutdinov, R.2
-
20
-
-
34547997987
-
Hierarchical probabilistic neural network language model
-
F. Morin and Y. Bengio. Hierarchical probabilistic neural network language model. In AISTATS, 2005.
-
(2005)
AISTATS
-
-
Morin, F.1
Bengio, Y.2
-
21
-
-
33745012299
-
Modularity and community structure in networks
-
M. E. Newman. Modularity and community structure in networks. PNAS, 2006.
-
(2006)
PNAS
-
-
Newman, M.E.1
-
22
-
-
48349134259
-
Content-based recommendation systems
-
Springer
-
M. J. Pazzani and D. Billsus. Content-based recommendation systems. In The adaptive web. Springer, 2007.
-
(2007)
The Adaptive Web
-
-
Pazzani, M.J.1
Billsus, D.2
-
23
-
-
84907031476
-
Deepwalk: Online learning of social representations
-
B. Perozzi, R. Al-Rfou, and S. Skiena. Deepwalk: Online learning of social representations. In SIGKDD, 2014.
-
(2014)
SIGKDD
-
-
Perozzi, B.1
Al-Rfou, R.2
Skiena, S.3
-
24
-
-
0032983160
-
On the momentum term in gradient descent learning algorithms
-
N. Qian. On the momentum term in gradient descent learning algorithms. Neural networks, 1999.
-
(1999)
Neural Networks
-
-
Qian, N.1
-
25
-
-
0013312710
-
-
Technical report, DTIC Document
-
B. Sarwar, G. Karypis, J. Konstan, and J. Riedl. Application of dimensionality reduction in recommender system-a case study. Technical report, DTIC Document, 2000.
-
(2000)
Application of Dimensionality Reduction in Recommender System-a Case Study
-
-
Sarwar, B.1
Karypis, G.2
Konstan, J.3
Riedl, J.4
-
26
-
-
84908866544
-
Item cold-start recommendations: Learning local collective embeddings
-
M. Saveski and A. Mantrach. Item cold-start recommendations: learning local collective embeddings. In RecSys, 2014.
-
(2014)
RecSys
-
-
Saveski, M.1
Mantrach, A.2
-
27
-
-
84891336407
-
2014 social media marketing industry report: How marketers are using social media to grow their businesses
-
M. A. Stelzner. 2014 Social Media Marketing Industry Report: How Marketers are Using Social Media to Grow Their Businesses. Social Media Examiner, 2014.
-
(2014)
Social Media Examiner
-
-
Stelzner, M.A.1
-
29
-
-
70350663106
-
Relational learning via latent social dimensions
-
L. Tang and H. Liu. Relational learning via latent social dimensions. In SIGKDD, 2009.
-
(2009)
SIGKDD
-
-
Tang, L.1
Liu, H.2
-
31
-
-
80052666619
-
Collaborative topic modeling for recommending scientific articles
-
C. Wang and D. M. Blei. Collaborative topic modeling for recommending scientific articles. In SIGKDD, 2011.
-
(2011)
SIGKDD
-
-
Wang, C.1
Blei, D.M.2
-
32
-
-
77952180804
-
User-based collaborativefiltering recommendation algorithms on hadoop
-
Z.-D. Zhao and M.-S. Shang. User-based collaborativefiltering recommendation algorithms on hadoop. In WKDD'10, 2010.
-
(2010)
WKDD'10
-
-
Zhao, Z.-D.1
Shang, M.-S.2
-
33
-
-
84900449646
-
Sharing the loves: Understanding the how and why of online content curation
-
C. Zhong, S. Shah, K. Sundaravadivelan, and N. Sastry. Sharing the loves: Understanding the how and why of online content curation. In ICWSM, 2013.
-
(2013)
ICWSM
-
-
Zhong, C.1
Shah, S.2
Sundaravadivelan, K.3
Sastry, N.4
|