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MDMTRec: An Adaptive Multi-Task Multi-Domain Recommendation Framework - SIGIR 2024

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

Recommendation Systems Courses Artificial Intelligence Courses Data Mining Courses Machine Learning Courses Information Retrieval Courses Multi-Task Learning Courses

Course Description

Overview

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Explore an innovative approach to recommendation systems in this 13-minute conference talk from SIGIR 2024. Delve into the MDMTRec framework, an adaptive multi-task multi-domain recommendation system presented by a team of researchers. Learn how this framework addresses challenges in cross-domain recommendations and multi-task learning. Discover the architecture, methodology, and potential applications of MDMTRec in improving personalized recommendations across various domains and tasks. Gain insights into the latest advancements in recommendation algorithms and their implications for enhancing user experiences in diverse digital platforms.

Syllabus

SIGIR 2024 M3.3 [fp] MDMTRec: An Adaptive Multi-Task Multi-Domain Recommendation Framework


Taught by

Association for Computing Machinery (ACM)

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