252 citations · 616 across the 34 of their papers we have counts for
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cs.IR2019★ 26 cited
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
Hao Peng, Jianxin Li, Qiran Gong +5
CNNs, RNNs, GCNs, and CapsNets have shown significant insights in representation learning and are widely used in various text mining tasks such as large-scale multi-label text clas…
cs.IR2018★ 7 cited
MARS: Memory Attention-Aware Recommender System
Lei Zheng, Chun-Ta Lu, Lifang He +4
In this paper, we study the problem of modeling users' diverse interests. Previous methods usually learn a fixed user representation, which has a limited ability to represent disti…
cs.IR2017★ 5 cited
A Broad Learning Approach for Context-Aware Mobile Application Recommendation
Tingting Liang, Lifang He, Chun-Ta Lu +3
With the rapid development of mobile apps, the availability of a large number of mobile apps in application stores brings challenge to locate appropriate apps for users. Providing…