<ul><li>Joint Group Profiling and Recommendation via Deep Neural Network-based Multi-Task Learning is a framework that unifies group profiling and recommendation tasks in a single model.</li><li>The model improves recommendation accuracy by jointly learning these tasks, leading to a deeper understanding of group dynamics.</li><li>Shared representations between the two tasks result in richer and more informative group embeddings.</li><li>Experiments and evaluations on real-world datasets demonstrate that the multi-task learning approach consistently outperforms baseline models.</li></ul>

Joint Group Profiling and Recommendation via Deep Neural Network-based Multi-Task Learning

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