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
Analyzing large-scale human mobility data: a survey of machine learning methods and applications
Human mobility patterns reflect many aspects of life, from the global spread of infectious
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …
diseases to urban planning and daily commute patterns. In recent years, the prevalence of …
Human-data interaction: The human face of the data-driven society
R Mortier, H Haddadi, T Henderson, D McAuley… - ar**, play an essential role
in making decisions like choosing a restaurant for our daily life. These systems heavily rely …
in making decisions like choosing a restaurant for our daily life. These systems heavily rely …
MaaS surveillance: Privacy considerations in mobility as a service
CD Cottrill - Transportation Research Part A: Policy and Practice, 2020 - Elsevier
The concept of Mobility as a Service (MaaS) is seeing increasing attention from researchers,
industry, and the public sector. MaaS, which posits that traditional models of car ownership …
industry, and the public sector. MaaS, which posits that traditional models of car ownership …
Personalized advertising computational techniques: A systematic literature review, findings, and a design framework
I Viktoratos, A Tsadiras - Information, 2021 - mdpi.com
This work conducts a systematic literature review about the domain of personalized
advertisement, and more specifically, about the techniques that are used for this purpose …
advertisement, and more specifically, about the techniques that are used for this purpose …
Anatomization and protection of mobile {Apps'} location privacy threats
Mobile users are becoming increasingly aware of the privacy threats resulting from apps'
access of their location. Few of the solutions proposed thus far to mitigate these threats have …
access of their location. Few of the solutions proposed thus far to mitigate these threats have …
Location privacy models in mobile applications: conceptual view and research directions
ML Damiani - GeoInformatica, 2014 - Springer
Location privacy in mobile, location-aware applications is a prominent research topic
spanning across different disciplines and with strong societal implications and expectations …
spanning across different disciplines and with strong societal implications and expectations …
DeepSneak: User GPS Trajectory Reconstruction from Federated Route Recommendation Models
Decentralized machine learning, such as Federated Learning (FL), is widely adopted in
many application domains. Especially in domains like recommendation systems, sharing …
many application domains. Especially in domains like recommendation systems, sharing …
Defining user risk in social networking services
Defining user risk in social networking services | Emerald Insight Books and journals Case
studies Expert Briefings Open Access Publish with us Advanced search Defining user risk in …
studies Expert Briefings Open Access Publish with us Advanced search Defining user risk in …
VLIA: Navigating Shadows with Proximity for Highly Accurate Visited Location Inference Attack against Federated Recommendation Models
Personalized location recommendation allows users to enjoy a seamless travel experience
by suggesting the optimal travel locations/routes based on user preferences. Most service …
by suggesting the optimal travel locations/routes based on user preferences. Most service …