Ben Kao

Neural Enquirer: Learning to Query Tables with Natural Language

2015 · arXiv (Cornell University)

We proposed Neural Enquirer as a neural network architecture to execute a natural language (NL) query on a knowledge-base (KB) for answers. Basically, Neural Enquirer finds the distributed representation of a query and then executes …

BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy

2019 · IEEE Transactions on Knowledge and Data Engineering

Personalized PageRank (PPR) is a classic measure of the relevance among different nodes in a graph, and has been applied in numerous systems, such as Twitter's Who-To-Follow and Pinterest's Related Pins. Existing work on PPR …

Automated Self-Supervised Learning for Recommendation

2023

Graph neural networks (GNNs) have emerged as the state-of-the-art paradigm for collaborative filtering (CF). To improve the representation quality over limited labeled data, contrastive learning has attracted attention in recommendation and benefited graph-based CF model …