Nov 11, 2016 · We find that unsupervised learning techniques significantly improve the prediction accuracy on both models. For the Linear Regression model, ...
In this paper, we investigate the effectiveness of unsupervised feature learning techniques in predicting user engagement on social media.
This research explores the usefulness of incorporating image and text data to predict user engagement.
Missing: Unsupervised Effective
Feb 6, 2024 · By automating these tasks, the platforms can improve the user experience and increase engagement while also maximizing their revenue potential.
The current study analyzes 4961 airline-related tweets and retweets. We utilize both supervised and unsupervised learning processes.
By utilizing supervised, unsupervised, and transfer learning techniques, the present article analyzes the entire three major online travel agencies' ...
People also search for
Aug 6, 2024 · This AI-driven recommendation increases the chances of content creators and businesses having their videos viewed, as the algorithm pushes their ...
Missing: Unsupervised | Show results with:Unsupervised
Unsupervised Learning: It involves training algorithms on unlabeled data, allowing them to discover hidden patterns or structures within the data.
This study provides a nuanced examination of personalization algorithms in social media, presenting a holistic understanding of their impact on user engagement ...
Missing: Unsupervised | Show results with:Unsupervised
May 10, 2024 · Artificial intelligence plays a significant role in transforming social media flawlessly. It simply helps in improving personalization, content ...
Missing: Unsupervised | Show results with:Unsupervised