86 citations · 289 across the 34 of their papers we have counts for
5 papers · 1 filter
Ensemble Knowledge Distillation for CTR Prediction
Jieming Zhu, Jinyang Liu, Weiqi Li +4
Recently, deep learning-based models have been widely studied for click-through rate (CTR) prediction and lead to improved prediction accuracy in many industrial applications. Howe…
Open Benchmarking for Click-Through Rate Prediction
Jieming Zhu, Jinyang Liu, Shuai Yang +2
Click-through rate (CTR) prediction is a critical task for many applications, as its accuracy has a direct impact on user experience and platform revenue. In recent years, CTR pred…
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach
Kelong Mao, Xi Xiao, Jieming Zhu +3
Tagging has been recognized as a successful practice to boost relevance matching for information retrieval (IR), especially when items lack rich textual descriptions. A lot of rese…
Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos
Zhu Zhang, Zhijie Lin, Zhou Zhao +2
Video moment retrieval aims to localize the target moment in an video according to the given sentence. The weak-supervised setting only provides the video-level sentence annotation…
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
Jieming Zhu, Shilin He, Pinjia He +2
Logs have been widely adopted in software system development and maintenance because of the rich runtime information they record. In recent years, the increase of software size and…