Contextual Distillation Model for Diversified Recommendation
The diversity of recommendation is equally crucial as accuracy in improving user
experience. Existing studies, eg, Determinantal Point Process (DPP) and Maximal Marginal …
experience. Existing studies, eg, Determinantal Point Process (DPP) and Maximal Marginal …
Make your home safe: Time-aware unsupervised user behavior anomaly detection in smart homes via loss-guided mask
Smart homes, powered by the Internet of Things, offer great convenience but also pose
security concerns due to abnormal behaviors, such as improper operations of users and …
security concerns due to abnormal behaviors, such as improper operations of users and …
I Know Your Intent: Graph-enhanced Intent-aware User Device Interaction Prediction via Contrastive Learning
With the booming of smart home market, intelligent Internet of Things (IoT) devices have
been increasingly involved in home life. To improve the user experience of smart homes …
been increasingly involved in home life. To improve the user experience of smart homes …
Themis: A passive-active hybrid framework with in-network intelligence for lightweight failure localization
The fast and efficient failure detection and localization is essential for stable network
transmission. Unfortunately, existing schemes suffer from a few drawbacks such as …
transmission. Unfortunately, existing schemes suffer from a few drawbacks such as …
Dependency-aware action planning for smart home
How can a smart home system control a connected device to be in a desired state? Recent
developments in the Internet of Things (IoT) technology enable people to control various …
developments in the Internet of Things (IoT) technology enable people to control various …
Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask
Smart homes, powered by the Internet of Things, offer great convenience but also pose
security concerns due to abnormal behaviors, such as improper operations of users and …
security concerns due to abnormal behaviors, such as improper operations of users and …
Timing Matters: Enhancing User Experience through Temporal Prediction in Smart Homes
S Ganatra, S Anaokar, P Bhattacharyya - arXiv preprint arXiv:2411.18719, 2024 - arxiv.org
Have you ever considered the sheer volume of actions we perform using IoT (Internet of
Things) devices within our homes, offices, and daily environments? From the mundane act …
Things) devices within our homes, offices, and daily environments? From the mundane act …
Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection
In high-stakes sectors such as network security, IoT security, accurately distinguishing
between normal and anomalous data is critical due to the significant implications for …
between normal and anomalous data is critical due to the significant implications for …