Zhixu Li

Where to Go Next: A Spatio-temporal LSTM model for Next POI Recommendation

2018 · arXiv (Cornell University)

Next Point-of-Interest (POI) recommendation is of great value for both location-based service providers and users. Recently Recurrent Neural Networks (RNNs) have been proved to be effective on sequential recommendation tasks. However, existing RNN solutions rarely …

Generative Entity Typing with Curriculum Learning

2022

Entity typing aims to assign types to the entity mentions in given texts. The traditional classification-based entity typing paradigm has two unignorable drawbacks: 1) it fails to assign an entity to the types beyond the …

Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

Next Point-of-Interest (POI) recommendation is of great value for both location-based service providers and users. However, the state-of-the-art Recurrent Neural Networks (RNNs) rarely consider the spatio-temporal intervals between neighbor check-ins, which are essential for modeling …

Social Influence-Based Group Representation Learning for Group Recommendation

2019

As social animals, attending group activities is an indispensable part in people's daily social life, and it is an important task for recommender systems to suggest satisfying activities to a group of users. The major …

Is ChatGPT a Good NLG Evaluator? A Preliminary Study

2023

Recently, the emergence of ChatGPT has attracted wide attention from the computational linguistics community. Many prior studies have shown that ChatGPT achieves remarkable performance on various NLP tasks in terms of automatic evaluation metrics. However, …