14 citations · 23 across the 4 of their papers we have counts for
4 papers
Learning Semantic Vector Representations of Source Code via a Siamese Neural Network
David Wehr, Halley Fede, Eleanor Pence +4
The abundance of open-source code, coupled with the success of recent advances in deep learning for natural language processing, has given rise to a promising new application of ma…
Deep Hierarchical Reinforcement Learning Based Recommendations via Multi-goals Abstraction
Dongyang Zhao, Liang Zhang, Bo Zhang +3
The recommender system is an important form of intelligent application, which assists users to alleviate from information redundancy. Among the metrics used to evaluate a recommend…
COSINE: Compressive Network Embedding on Large-scale Information Networks
Zhengyan Zhang, Cheng Yang, Zhiyuan Liu +4
There is recently a surge in approaches that learn low-dimensional embeddings of nodes in networks. As there are many large-scale real-world networks, it's inefficient for existing…
PBODL : Parallel Bayesian Online Deep Learning for Click-Through Rate Prediction in Tencent Advertising System
Xun Liu, Wei Xue, Lei Xiao +1
We describe a parallel bayesian online deep learning framework (PBODL) for click-through rate (CTR) prediction within today's Tencent advertising system, which provides quick and a…