# Dynamic Conflict Resolution of IoT Services in Smart Homes

arXiv: https://arxiv.org/abs/2110.07083 · HTML: https://mlsanity.com/paper/2110.07083/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 13 Oct 2021.

## Built on by (most cited first, 2 of 2)

- [Positional Encoding-based Resident Identification in Multi-resident Smart Homes](https://mlsanity.com/paper/2310.17836/) (2023)
- [Privacy-aware IoT Fall Detection Services For Aging in Place](https://mlsanity.com/paper/2506.22462/) (2025)

## Abstract (arXiv)

We propose a novel conflict resolution framework for IoT services in multi-resident smart homes. The proposed framework employs a preference extraction model based on a temporal proximity strategy. We design a preference aggregation model using a matrix factorization-based approach (i.e., singular value decomposition). The concepts of current resident item matrix and ideal resident item matrix are introduced as key criteria to cater to the conflict resolution framework. Finally, a set of experiments on real-world datasets are conducted to show the effectiveness of the proposed approach.