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 …
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 …
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 …