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We consider the problem of segmenting a large population of customers into non-overlapping groups with similar preferences, using diverse preference observations such as purchases, ratings, clicks, etc.
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Market segmentation: Conceptual and methodological foundations
Wedel, Michel, Wagner A Kamakura. 2000 · 2000
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On the surprising behavior of distance metrics in high dimensional space
Aggarwal, Charu C, Alexander Hinneburg, Daniel A Keim. 2001 · 2001
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Methods and metrics for cold-start recommendations
Schein, Andrew I, Alexandrin Popescul, Lyle H Ungar, David M Pennock. 2002 · 2002
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Cluster ensembles—a knowledge reuse framework for combining multiple partitions
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Finite mixture models
McLachlan, Geoffrey, David Peel. 2004 · 2004
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Pairwise preference regression for cold-start recommendation
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Scalable collaborative filtering approaches for large recommender systems
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Data clustering: 50 years beyond k-means
Jain, Anil K. 2010 · 2010
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Spectral regularization algorithms for learning large incomplete matrices
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Evaluating recommendation systems
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Addressing cold-start in app recommendation: latent user models constructed from twitter followers
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Social collaborative filtering for cold-start recommendations
Sedhain, Suvash, Scott Sanner, Darius Braziunas, Lexing Xie, Jordan Christensen. 2014 · 2014
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Addressing cold start in recommender systems: A semi-supervised co-training algorithm
Zhang, Mi, Jie Tang, Xuchen Zhang, Xiangyang Xue. 2014 · 2014
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Optimizing similar item recommendations in a semi-structured marketplace to maximize conversion
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