most citedA Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists

30 citations · 30 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2020

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition

Yun He, Ziwei Zhu, Yin Zhang +2

Knowledge of a disease includes information of various aspects of the disease, such as signs and symptoms, diagnosis and treatment. This disease knowledge is critical for many heal…

cs.CL2020

PARADE: A New Dataset for Paraphrase Identification Requiring Computer Science Domain Knowledge

Yun He, Zhuoer Wang, Yin Zhang +2

We present a new benchmark dataset called PARADE for paraphrase identification that requires specialized domain knowledge. PARADE contains paraphrases that overlap very little at t…

cs.IR2019

Consistency-Aware Recommendation for User-Generated ItemList Continuation

Yun He, Yin Zhang, Weiwen Liu +1

User-generated item lists are popular on many platforms. Examples include video-based playlists on YouTube, image-based lists (or"boards") on Pinterest, book-based lists on Goodrea…

cs.IR201930 cited

A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists

Yun He, Jianling Wang, Wei Niu +1

User-generated item lists are a popular feature of many different platforms. Examples include lists of books on Goodreads, playlists on Spotify and YouTube, collections of images o…

cs.IR2019

Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation

Yun He, Haochen Chen, Ziwei Zhu +1

We propose PsiRec, a novel user preference propagation recommender that incorporates pseudo-implicit feedback for enriching the original sparse implicit feedback dataset. Three of…