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Designing recommendation systems with limited or no available training data remains a challenge. To that end, a new combinatorial optimization problem is formulated to generate optimized item selection for experimentation with the goal to shorten the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffd41cddc60a3d866fe8bfc091d2ab4f
http://arxiv.org/abs/2112.03105
http://arxiv.org/abs/2112.03105
