69 citations · 336 across the 32 of their papers we have counts for
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cs.LG2019★ 14 cited
Attributed Sequence Embedding
Zhongfang Zhuang, Xiangnan Kong, Elke Rundensteiner +2
Mining tasks over sequential data, such as clickstreams and gene sequences, require a careful design of embeddings usable by learning algorithms. Recent research in feature learnin…
cs.IR2019★ 28 cited
Signed Distance-based Deep Memory Recommender
Thanh Tran, Xinyue Liu, Kyumin Lee +1
Personalized recommendation algorithms learn a user's preference for an item by measuring a distance/similarity between them. However, some of the existing recommendation models (e…