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Recommendation systems have been integrated into the majority of large online systems.
Improving predictive inference under covariate shift by weighting the log-likelihood function
Shimodaira][2000]Shimodaira2000227 Shimodaira, H. (2000) · 2000
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Evaluating collaborative filtering recommender systems
Herlocker et al.][2004]HerlockerEtAl2004Evaluating Herlocker, J. L., Konstan, J. A., Terveen, L. G., & Riedl, J. T. (2004) · 2004
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Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
Adomavicius and Tuzhilin][2005]adomavicius2005toward Adomavicius, G., & Tuzhilin, A. (2005) · 2005
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Being accurate is not enough: how accuracy metrics have hurt recommender systems
McNee et al.][2006]mcnee2006being McNee, S. M., Riedl, J., & Konstan, J. A. (2006) · 2006
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Covariate shift adaptation by importance weighted cross validation
Sugiyama et al.][2007]sugiyama2007covariate Sugiyama, M., Krauledat, M., & Müller, K.-R. (2007) · 2007
Cited alongside, same era.
Recommender systems handbook
Kantor et al.][2011]kantor2011recommender Kantor, P. B., Rokach, L., Ricci, F., & Shapira, B. (Eds.). (2011) · 2011
Cited alongside, same era.
Evaluating recommendation systems
Shani and Gunawardana][2011]shani2011evaluating Shani, G., & Gunawardana, A. (2011) · 2011
Later among the works it cites.
A literature review and classification of recommender systems research
Park et al.][2012]park2012literature Park, D. H., Kim, H. K., Choi, I. Y., & Kim, J. K. (2012) · 2012
Later among the works it cites.
User-centric evaluation of a k-furthest neighbor collaborative filtering recommender algorithm
Said et al.][2013]said2013user Said, A., Fields, B., Jain, B. J., & Albayrak, S. (2013) · 2013
Later among the works it cites.
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