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
Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML
Abstract Internet of Medical Things (IoMT) supports traditional healthcare systems by
providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It …
providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It …
Zero shot on the cold-start problem: Model-agnostic interest learning for recommender systems
User behavior has been validated to be effective in revealing personalized preferences for
commercial recommendations. However, few user-item interactions can be collected for new …
commercial recommendations. However, few user-item interactions can be collected for new …
Trusted service evaluation for mobile edge users: Challenges and reviews
With the increasing growth of web services shared in various mobile edge platforms, it
becomes necessary to evaluate all the candidates based on their quality of services to …
becomes necessary to evaluate all the candidates based on their quality of services to …
[HTML][HTML] Explicit and implicit trust modeling for recommendation
Recommendation has become an inseparable component of many software applications,
such as e-commerce, social media and gaming platforms. Particularly in collaborative …
such as e-commerce, social media and gaming platforms. Particularly in collaborative …
[PDF][PDF] Joint Training of Propensity Model and Prediction Model via Targeted Learning for Recommendation on Data Missing Not at Random
Recommender systems (RS) help to capture users' personalized interests and are
increasingly important across social media, e-commerce, and various online applications …
increasingly important across social media, e-commerce, and various online applications …
A privacy-preserving semi-decentralized personalized recommendation system
In the present era of big data, recommendation systems play a crucial role in our daily lives
by assisting us in making quicker and more informed decisions from a vast array of choices …
by assisting us in making quicker and more informed decisions from a vast array of choices …
Cold-start recommendation method based on homomorphic encryption
Nowadays, recommendation systems are widely used, and it is a very difficult issue to solve
the cold-start problem. Recent studies shows that the introduction of social network …
the cold-start problem. Recent studies shows that the introduction of social network …
[HTML][HTML] A comprehensive and unified approach to web service trust evaluation based on uncertainty methodology
J Zhang, D Li - Entropy, 2022 - mdpi.com
Web services have the advantage of being able to generate new value-added services
based on existing services. To effectively compose Web services, the composition process …
based on existing services. To effectively compose Web services, the composition process …
Trust modeling in recommendation: Explicit and implicit trust model compatibility and explicit trust prediction
In social networks, trust is a fundamental notion affecting the nature and the strength of ties
between individuals. It is also a piece of useful auxiliary information for improving the …
between individuals. It is also a piece of useful auxiliary information for improving the …
Personalized Privacy-Preserving Semi-Centralized Recommendation System in a Trust-Based Agent Network
In the current big data era, recommendation systems play an important role in our daily life to
help us make faster and better decisions from massive numbers of choices. Personalized …
help us make faster and better decisions from massive numbers of choices. Personalized …