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Identifying relationships between items is a key task of an online recommender system, in order to help users discover items that are functionally complementary or visually compatible.
Adaptive mixtures of local experts
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Amazon.com recommendations: Item-to-item collaborative filtering
G. Linden, B. Smith, and J. York · 2003
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On the uniform generation of random graphs with prescribed degree sequences
R. Milo, N. Kashtan, S. Itzkovitz, M. E. J. Newman, and U. Alon · 2003
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Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
G. Adomavicius and A. Tuzhilin · 2005
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Supervised learning of semantic classes for image annotation and retrieval
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Large margin component analysis
L. Torresani and K. chih Lee · 2007
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Learning a metric for music similarity
M. Slaney, K. Weinberger, and W. White · 2008
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Relational topic models for document networks
J. Chang and D. Blei · 2009
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On centroidal voronoi tessellation—energy smoothness and fast computation
Y. Liu, W. Wang, B. Lévy, F. Sun, D.-M. Yan, L. Lu, and C. Yang · 2009
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Substitutes or complements: another step forward in recommendations
J. Zheng, X. Wu, J. Niu, and A. Bolivar · 2009
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Block-LDA: Jointly modeling entity-annotated text and entity-entity links
R. Balasubramanyan and W. Cohen · 2011
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Advances in collaborative filtering
Y. Koren and R. Bell · 2011
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Link prediction via matrix factorization
A. K. Menon and C. Elkan · 2011
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Data-driven visual similarity for cross-domain image matching
A. Shrivastava, T. Malisiewicz, A. Gupta, and A. A. Efros · 2011
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Latent coincidence analysis: A hidden variable model for distance metric learning
M. Der and L. Saul · 2012
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What makes paris look like paris?
C. Doersch, S. Singh, A. Gupta, J. Sivic, and A. A. Efros · 2012
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Hi, magic closet, tell me what to wear!
S. Liu, J. Feng, Z. Song, T. Zhang, H. Lu, C. Xu, and S. Yan · 2012
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Urban tribes: Analyzing group photos from a social perspective
A. C. Murillo, I. S. Kwak, L. Bourdev, D. Kriegman, and S. Belongie · 2012
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Paper doll parsing: Retrieving similar styles to parse clothing items
K. Yamaguchi, M. H. Kiapour, and T. L. Berg · 2013
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Large-scale l-bfgs using mapreduce
W. Chen, Z. Wang, and J. Zhou · 2014
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Style in the long tail: Discovering unique interests with latent variable models in large scale social e-commerce
D. J. Hu, R. Hall, and J. Attenberg · 2014
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Large scale visual recommendations from street fashion images
V. Jagadeesh, R. Piramuthu, A. Bhardwaj, W. Di, and N. Sundaresan · 2014
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Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. B. Girshick, S. Guadarrama, and T. Darrell · 2014
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Boosting multi-kernel locality-sensitive hashing for scalable image retrieval
H. Xia, P. Wu, S. Hoi, and R. Jin · 2012
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Similarity component analysis
S. Changpinyo, K. Liu, and F. Sha · 2013
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Style finder: Fine-grained clothing style detection and retrieval
W. Di, C. Wah, A. Bhardwaj, R. Piramuthu, and N. Sundaresan · 2013
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Reinforced similarity integration in image-rich information networks
X. Jin, J. Luo, J. Yu, G. Wang, D. Joshi, and J. Han · 2013
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Getting the look: Clothing recognition and segmentation for automatic product suggestions in everyday photos
Y. Kalantidis, L. Kennedy, and L.-J. Li · 2013
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D. Spina and J. Gonzalo · 2014
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Accelerating t-SNE using tree-based algorithms
L. van der Maaten · 2014
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Inferring networks of substitutable and complementary products
J. J. McAuley, R. Pandey, and J. Leskovec · 2015
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Image-based recommendations on styles and substitutes
J. J. McAuley, C. Targett, Q. Shi, and A. van den Hengel · 2015
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Learning visual clothing style with heterogeneous dyadic co-occurrences
A. Veit, B. Kovacs, S. Bell, J. McAuley, K. Bala, and S. Belongie · 2015
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Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering
R. He and J. McAuley · 2016
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