Feb 8, 2021 · In this paper, we present a new next POI recommendation method, called DSPR, by exploring user's preferences and real-time demand simultaneously ...

A POI recommendation system can combine individualized places and different information sources that meet their preferences at a certain time and location for ...

We integrate these two modules into SAN and propose a Spatial-Temporal Interval-Aware sequential POI recommender, namely STiSAN, as an end-to-end deployment.

Towards real-time demand-aware sequential POI recommendation. · Attentional Memory Network with Correlation-based Embedding for time-aware POI recommendation.

Apr 29, 2022 · We propose a new Influence-Aware successive POI recommendation Model (InfAM), which can learn the influence of POIs in a short-term sequence fragment for next ...

연도 · Towards real-time demand-aware sequential POI recommendation. H Wang, P Li, Y Liu, J Shao. Information Sciences 547, 482-497, 2021. 43, 2021. Multi-view ...

Apr 20, 2023 · The growth of POI recommendation systems using location-based social networks can bring numerous benefits, comprising meeting consumer demands, ...

6 days ago · Shao, “Towards real-time demand-aware sequential POI recommendation,”. Inf. Sci., vol. 547, no. 8, pp. 482–497, 2021. doi: 10.1016/j.ins ...

Jun 24, 2024 · In this paper, we survey and categorize existing approaches to building the next generation of Intent-Aware Recommender Systems (IARS).

Accurately recommending the next POI has become a fundamental problem with the rapid growth of location- based social networks (LBSNs).