Yiding Liu

Pre-trained Language Model for Web-scale Retrieval in Baidu Search

2021

Retrieval is a crucial stage in web search that identifies a small set of query-relevant candidates from a billion-scale corpus. Discovering more semantically-related candidates in the retrieval stage is very promising to expose more high-quality …

Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking

2022 · arXiv (Cornell University)

Passage re-ranking is to obtain a permutation over the candidate passage set from retrieval stage. Re-rankers have been boomed by Pre-trained Language Models (PLMs) due to their overwhelming advantages in natural language understanding. However, existing …

Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes

2023 · arXiv (Cornell University)

Heterogeneous Information Networks (HINs), which consist of various types of nodes and edges, have recently demonstrated excellent performance in graph mining. However, most existing heterogeneous graph neural networks (HGNNs) ignore the problems of missing attributes, …

An experimental evaluation of point-of-interest recommendation in location-based social networks

2017 · Proceedings of the VLDB Endowment

Point-of-interest (POI) recommendation is an important service to Location-Based Social Networks (LBSNs) that can benefit both users and businesses. In recent years, a number of POI recommender systems have been proposed, but there is still …