44 citations · 99 across the 9 of their papers we have counts for
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cs.IR2018
LRMM: Learning to Recommend with Missing Modalities
Cheng Wang, Mathias Niepert, Hui Li
Multimodal learning has shown promising performance in content-based recommendation due to the auxiliary user and item information of multiple modalities such as text and images. H…
cs.IR2018★ 19 cited
TransRev: Modeling Reviews as Translations from Users to Items
Alberto Garcia-Duran, Roberto Gonzalez, Daniel Onoro-Rubio +2
The text of a review expresses the sentiment a customer has towards a particular product. This is exploited in sentiment analysis where machine learning models are used to predict…