mlsanityData to 14 Oct 2026

Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge

arXiv 2208.06089 ↗First posted 12 Aug 2022cs.AI cs.LG cs.SYcited by 8

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Abstract (arXiv)

How can we accurately recommend actions for users to control their devices at home? Action recommendation for smart home has attracted increasing attention due to its potential impact on the markets of virtual assistants and Internet of Things (IoT). However, designing an effective action recommender system for smart home is challenging because it requires handling context correlations, considering both queried contexts and previous histories of users, and dealing with capricious intentions in history. In this work, we propose SmartSense, an accurate action recommendation method for smart home. For individual action, SmartSense summarizes its device control and its temporal contexts in a self-attentive manner, to reflect the importance of the correlation between them. SmartSense then summarizes sequences of users considering queried contexts in a query-attentive manner to extract the query-related patterns from the sequential actions. SmartSense also transfers the commonsense knowledge from routine data to better handle intentions in action sequences. As a result, SmartSense addresses all three main challenges of action recommendation for smart home, and achieves the state-of-the-art performance giving up to 9.8% higher mAP@1 than the best competitor.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 22 of its 54 references that are in the map. First posted on arXiv 12 Aug 2022.

Builds on

22 of 54 references.

References · 22

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10 more
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Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 1; 2024: 3; 2025: 3.

8 papers.

  1. 2024Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Maskcited by 5
  2. 2023Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heatingcited by 4
  3. 2022Diversely Regularized Matrix Factorization for Accurate and Aggregately Diversified Recommendationcited by 2
  4. 2024Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendationcited by 1
  5. 2024Timing Matters: Enhancing User Experience through Temporal Prediction in Smart Homescited by 0
  6. 2025ADLGen: Synthesizing Symbolic, Event-Triggered Sensor Sequences for Human Activity Modelingcited by 0
  7. 2025Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homescited by 0
  8. 2025Wireless Power Transfer and Intent-Driven Network Optimization in AAVs-assisted IoT for 6G Sustainable Connectivitycited by 0