194 citations · 428 across the 15 of their papers we have counts for
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cs.IR2017★ 7 cited
A Context-Aware User-Item Representation Learning for Item Recommendation
Libing Wu, Cong Quan, Chenliang Li +2
Both reviews and user-item interactions (i.e., rating scores) have been widely adopted for user rating prediction. However, these existing techniques mainly extract the latent repr…
cs.IR2017★ 3 cited
Multi-label Dataless Text Classification with Topic Modeling
Daochen Zha, Chenliang Li
Manually labeling documents is tedious and expensive, but it is essential for training a traditional text classifier. In recent years, a few dataless text classification techniques…