58 citations · 140 across the 16 of their papers we have counts for
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cond-mat.mtrl-sci2017★ 58 cited
Matrix- and tensor-based recommender systems for the discovery of currently unknown inorganic compounds
Atsuto Seko, Hiroyuki Hayashi, Hisashi Kashima +1
Chemically relevant compositions (CRCs) and atomic arrangements of inorganic compounds have been collected as inorganic crystal structure databases. Machine-learning is a unique ap…
cs.IR2017
Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario
Jill-Jênn Vie, Florian Yger, Ryan Lahfa +4
Item cold-start is a classical issue in recommender systems that affects anime and manga recommendations as well. This problem can be framed as follows: how to predict whether a us…