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Data Mining Problems in Retail

Highly Scalable

To a certain extent, such a high diversity of recommendation techniques is attributed to several implementation challenges like a sparsity of customer ratings, computational scalability, and lack of information on new items and customers. RR10] Recommender Systems Handbook, F. Bergstrom, and J. Riedl, 1994. Rodriguez, C. Zhang, 2012.

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