Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[PDF][PDF] An interactive multi-task learning framework for next POI recommendation with uncertain check-ins
Studies on next point-of-interest (POI) recommendation mainly seek to learn users' transition
patterns with certain historical check-ins. However, in reality, users' movements are typically …
patterns with certain historical check-ins. However, in reality, users' movements are typically …
User Modeling for Point‐of‐Interest Recommendations in Location‐Based Social Networks: The State of the Art
S Liu - Mobile Information Systems, 2018 - Wiley Online Library
The rapid growth of location‐based services (LBSs) has greatly enriched people's urban
lives and attracted millions of users in recent years. Location‐based social networks …
lives and attracted millions of users in recent years. Location‐based social networks …
[PDF][PDF] Predicting activity and location with multi-task context aware recurrent neural network.
Predicting users' activity and location preferences is of great significance in location based
services. Considering that users' activity and location preferences interplay with each other …
services. Considering that users' activity and location preferences interplay with each other …
Survey on user location prediction based on geo-social networking data
With the popularity of smart mobile terminals and advances in wireless communication and
positioning technologies, Geo-Social Networks (GSNs), which combine location awareness …
positioning technologies, Geo-Social Networks (GSNs), which combine location awareness …
Beyond fixed time and space: next POI recommendation via multi-grained context and correlation
POI recommendation is significant for discovering attractive locations, crime prediction, and
smart city construction. Most existing methods only consider the fixed time and space …
smart city construction. Most existing methods only consider the fixed time and space …
Predicting a person's next activity region with a dynamic region-relation-aware graph neural network
The understanding of people's inter-regional mobility behaviors, such as predicting the next
activity region (AR) or uncovering the intentions for regional mobility, is of great value to …
activity region (AR) or uncovering the intentions for regional mobility, is of great value to …
A meta-path-based recurrent model for next poi prediction with spatial and temporal contexts
Predicting next point of interest (POI) of users in location-based social networks has become
an increasingly significant requirement, because of its potential benefits for individuals and …
an increasingly significant requirement, because of its potential benefits for individuals and …
Context-aware next point-of-interest recommendation with uncertain check-ins
L Zhang - 2022 - dr.ntu.edu.sg
The rapid development of next point-of-interest (POI) recommendation benefits from a large
number of check-ins shared by users in location-based social networks (LBSNs), such as …
number of check-ins shared by users in location-based social networks (LBSNs), such as …
[HTML][HTML] 基于时空周期模式挖掘的活动语义识别方法
郭茂祖， 邵首飞， 赵玲玲， **阳 - 智能系统学报, 2021 - html.rhhz.net
传统的活动语义识别研究侧重从时空轨迹的空间信息中提取人类的活动语义,
对时空轨迹数据的时间特性挖掘不足. 本文兼顾时间和空间特征, 提出了一种基于周期模式挖掘 …
对时空轨迹数据的时间特性挖掘不足. 本文兼顾时间和空间特征, 提出了一种基于周期模式挖掘 …