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This work proposes an approach for proactive services recommendation driven-by multimodal emotion recognition (named as PSRMER).
Speech emotion recognition plays a crucial role in analyzing psychological disorders, behavioral decision-making, and human-machine interaction applications.
To address this issue, this work proposes an approach for proactive services recommendation driven-by multimodal emotion recognition (named as PSRMER).
PSRMER: Proactive Services Recommendation Driven-by Multimodal Emotion Recognition. ICWS 2023: 514-525; 2022. [j7]. view. electronic edition via DOI ...
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What is multimodal emotion recognition?
We propose an approach for dynamic reconfiguration of CSs by automatically detecting both GQoS and DQoS failures.
The study [28] examined the Proactive service recommendation driven by multimodal emotion recognition (PSRMER) is a method that the study suggests as a solution ...
PSRMER: Proactive Services Recommendation Driven-by Multimodal Emotion Recognition pp. 514-525. Representation Enhancement based Cold Start Model for Elastic ...
PSRMER: Proactive Services Recommendation Driven-by Multimodal Emotion Recognition. Proceedings of the 2023 IEEE International Conference on Web Services ...
Sep 8, 2024 · Multimodal Emotion Recognition (MER) aims to automatically identify and understand human emotional states by integrating information from ...
TL;DR: This paper proposes a novel recommendation framework consisting of two stages: Service Set Generation Stage and Service Set Ranking Stage, which argues ...
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