Our Partner Case Study
Personalizing Video Recommendationsfor Dailymotion
Dailymotion, a popular video sharing platform, wanted to find a solution to its recommendation system through artificial intelligence-based personalization. The goal was to provide users with more relevant video suggestions, increasing engagement and viewing time on the platform.
Challenges
To analyze large volumes of user data and deliver personalized video recommendations in real-time, Dailymotion needed a solution that could keep viewers engaged by suggesting content closely aligned with their interests and viewing patterns, ultimately reducing bounce rates and boosting overall platform usage.
Solutions Implemented
To meet Dailymotion's demand for greater viewer engagement, a series of advanced AI-based solutions designed to analyze user behavior, personalize content recommendations and deliver real-time video suggestions that align with individual viewing preferences were implemented. These measures were designed to create a more customized and engaging user experience, ultimately leading to increased retention and usage of the platform.
AI-Powered Video Recommendation Engine
Implemented an advanced AI recommendation engine that uses machine learning algorithms to analyze user behavior, such as history such as browsing history, likes and interaction patterns. This has allowed Dailymotion to generate personalized video suggestions tailored to the
individual user preferences.
Dynamic Content Personalization
The system provided dynamic content updates, ensuring that video recommendations evolved with the user’s changing interests. By continuously learning from user interactions, the platform could refine its suggestions to stay relevant and engaging.
Cross-Platform
Consistency
The personalized recommendation engine was integrated across all platforms, including mobile, desktop, and smart TV apps, ensuring that users received a consistent and personalized experience no matter how they accessed Dailymotion.
Results Achieved
300%
Increase in Unique Video Views
The AI-driven personalization significantly increased the diversity of videos watched by users, enhancing the overall viewing experience.
"Dailymotion applies [BaseModel] to personalize video recommendations in native applications. [BaseModel] outperforms all other models driving increased customer relevance, ad revenues and ROI."
Data Science Team