activity
20172020
most citedA Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists

30 citations · 35 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2020

Understanding Car-Speak: Replacing Humans in Dealerships

Habeeb Hooshmand, James Caverlee

A large portion of the car-buying experience in the United States involves interactions at a car dealership. At the dealership, the car-buyer relays their needs to a sales represen…

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…

cs.CL20175 cited

Online Deception Detection Refueled by Real World Data Collection

Wenlin Yao, Zeyu Dai, Ruihong Huang +1

The lack of large realistic datasets presents a bottleneck in online deception detection studies. In this paper, we apply a data collection method based on social network analysis…