Customer profile

  • sweet.tv is a streaming platform that offers a wide variety of TV shows, movies, documentaries, and more on thousands of internet-connected devices.

Business Goals

  • Improve user engagement.
  • Personalize movie recommendations.
  • Increase movie viewing rate, recommend “long tail” items.

Challenge

  • Movie recommendations were made manually by the content managers department. Recommendation creation became a manual toil, regularly consuming significant human efforts.
  • Some movies were not watched a single time.

Solution

  • We have developed the “Trending now” recommender offers users the most currently popular movies by the weighted average number of likes and view percentage.
  • The “Movie-to-movie” similarity recommender offers the most similar movies to the movie that just has been watched by a user.
  • Hybrid collaborative filtering recommender combining movie features, user features, and interaction data of users’ likes/dislikes and users’ movie watch percentages.

Impact

  • Manual toil (content management by hand) was reduced by 60% and boiled down mainly to validate the automatically generated recommendations.
  • Over one month of A/B testing of the integrated movie recommender system, the movie watch rate increased from 20% to 40%. Compared to the controlled deployment with manual recommendations, the average user screen time increased by 20%.
  • The number of non-watched films decreased by 25%.
Roadmap
1 month
Solution Design
AI Solutions Architect, Data Scientist
Data Collection
Data Scientist
Exploratory Data Analysis
Data Scientist
Data Preprocessing
Data Scientist
Features Engineering
Data Scientist
Model Development
Data Scientist
Model Performance Evaluation
Data Scientist
Hyperparameters Tuning
Data Scientist
Standalone AI Service Design
Data Scientist, AI Solutions Architect
Standalone AI Service Coding
Data Scientist

Sign up to receive the project description

    Roadmap
    1 month
    Solution Design
    AI Solutions Architect, Data Scientist
    Data Collection
    Data Scientist
    Exploratory Data Analysis
    Data Scientist
    Data Preprocessing
    Data Scientist
    Features Engineering
    Data Scientist
    Model Development
    Data Scientist
    Model Performance Evaluation
    Data Scientist
    Hyperparameters Tuning
    Data Scientist
    Standalone AI Service Design
    Data Scientist, AI Solutions Architect
    Standalone AI Service Coding
    Data Scientist

    Industry

    Keywords

    • Recommender System
    • User Engagement