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Black-Box Testing of Practical Movie Recommendation Systems: a Comparative Study
Computer Science and Information Systems, Tome 11 (2014) no. 1 Cet article a éte moissonné depuis la source Computer Science and Information Systems website

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Many practical recommendation systems have been studied, and also the services based on such recommendation systems have been opened in real world. The main research questions of this work are i) how these recommendation services provide users with useful information, and ii) how different the results from the systems are from each other. In this paper, we propose a black-box evaluation framework of the practical recommendation services. Thus, we have designed user modeling process for generating synthesized user models as the inputs for the recommendation services. User models (i.e., a set of user ratings) have been synthesized to discriminate the recommendation results. Given a set of practical recommendation systems, the proposed black-box testing scheme has been applied by comparing recommendation results. Particularly, we focus on investigating whether the services consider attribute selection.
Keywords: Social networks; Recommendation systems; Black-box testing; Comparative study 
@article{CSIS_2014_11_1_a16,
     author = {Namhee Lee and Jason J. Jung and Ali Selamat and Dosam Hwang},
     title = {Black-Box {Testing} of {Practical} {Movie} {Recommendation} {Systems:} a {Comparative} {Study}},
     journal = {Computer Science and Information Systems},
     year = {2014},
     volume = {11},
     number = {1},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2014_11_1_a16/}
}
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Namhee Lee; Jason J. Jung; Ali Selamat; Dosam Hwang. Black-Box Testing of Practical Movie Recommendation Systems: a Comparative Study. Computer Science and Information Systems, Tome 11 (2014) no. 1. http://geodesic.mathdoc.fr/item/CSIS_2014_11_1_a16/