Gao Cong

HyperML

2020

This paper investigates the notion of learning user and item representations in non-Euclidean space. Specifically, we study the connection between metric learning in hyperbolic space and collaborative filtering by exploring Mobius gyrovector spaces where the …

AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction

2024

Multi-agent trajectory prediction, as a critical task in modeling complex interactions of objects in dynamic systems, has attracted significant research attention in recent years. Despite the promising advances, existing studies all follow the assumption that …

Quantum Algorithms for the Maximum K-Plex Problem

2024

The k-plex model, which allows each vertex to miss connections with up to$k$neighbors, serves as a relaxation of the clique model. Its adaptability makes it more suitable for analyzing graphs from real-world applications, where noise …

Rank-GeoFM

2015

With the rapid growth of location-based social networks, Point of Interest (POI) recommendation has become an important research problem. However, the scarcity of the check-in data, a type of implicit feedback data, poses a severe …

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 …

ANR

2018

Textual reviews, which are readily available on many e-commerce and review websites such as Amazon and Yelp, serve as an invaluable source of information for recommender systems. However, not all parts of the reviews are …

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

2020

Session-based recommendation (SBR) is a challenging task, which aims at recommending items based on anonymous behavior sequences. Almost all the existing solutions for SBR model user preference only based on the current session without exploiting …