A survey of graph neural networks for recommender systems: Challenges, methods, and directions

C Gao, Y Zheng, N Li, Y Li, Y Qin, J Piao… - ACM Transactions on …, 2023 - dl.acm.org
Recommender system is one of the most important information services on today's Internet.
Recently, graph neural networks have become the new state-of-the-art approach to …

A survey on session-based recommender systems

S Wang, L Cao, Y Wang, QZ Sheng, MA Orgun… - ACM Computing …, 2021 - dl.acm.org
Recommender systems (RSs) have been playing an increasingly important role for informed
consumption, services, and decision-making in the overloaded information era and digitized …

Stan: Spatio-temporal attention network for next location recommendation

Y Luo, Q Liu, Z Liu - Proceedings of the web conference 2021, 2021 - dl.acm.org
The next location recommendation is at the core of various location-based applications.
Current state-of-the-art models have attempted to solve spatial sparsity with hierarchical …

Where to go next: A spatio-temporal gated network for next poi recommendation

P Zhao, A Luo, Y Liu, J Xu, Z Li… - … on Knowledge and …, 2020 - ieeexplore.ieee.org
Next Point-of-Interest (POI) recommendation which is of great value to both users and POI
holders is a challenging task since complex sequential patterns and rich contexts are …

Personalized top-n sequential recommendation via convolutional sequence embedding

J Tang, K Wang - Proceedings of the eleventh ACM international …, 2018 - dl.acm.org
Top-N sequential recommendation models each user as a sequence of items interacted in
the past and aims to predict top-N ranked items that a user will likely interact in a» near …

A simple convolutional generative network for next item recommendation

F Yuan, A Karatzoglou, I Arapakis, JM Jose… - Proceedings of the twelfth …, 2019 - dl.acm.org
Convolutional Neural Networks (CNNs) have been recently introduced in the domain of
session-based next item recommendation. An ordered collection of past items the user has …

GETNext: trajectory flow map enhanced transformer for next POI recommendation

S Yang, J Liu, K Zhao - Proceedings of the 45th International ACM SIGIR …, 2022 - dl.acm.org
Next POI recommendation intends to forecast users' immediate future movements given their
current status and historical information, yielding great values for both users and service …

Deepmove: Predicting human mobility with attentional recurrent networks

J Feng, Y Li, C Zhang, F Sun, F Meng, A Guo… - Proceedings of the 2018 …, 2018 - dl.acm.org
Human mobility prediction is of great importance for a wide spectrum of location-based
applications. However, predicting mobility is not trivial because of three challenges: 1) the …

Graph-flashback network for next location recommendation

X Rao, L Chen, Y Liu, S Shang, B Yao… - Proceedings of the 28th …, 2022 - dl.acm.org
Next Point-of Interest (POI) recommendation plays an important role in location-based
applications, which aims to recommend the next POIs to users that they are most likely to …

Sequence-aware recommender systems

M Quadrana, P Cremonesi, D Jannach - ACM computing surveys (CSUR …, 2018 - dl.acm.org
Recommender systems are one of the most successful applications of data mining and
machine-learning technology in practice. Academic research in the field is historically often …