license: mit
tags:
- infinite-dataset-hub
- synthetic
NetflixRecommendation
tags: collaborative, personalized, implicit
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description:
The 'NetflixRecommendation' dataset aims to facilitate research in collaborative filtering for personalized content recommendation systems. It contains a list of films, TV shows, and documentaries that have been recommended to users based on their viewing history, explicit preferences, and implicit feedback (such as watching duration, search frequency, etc.). Each row in the dataset represents a recommendation with a unique identifier, a label for the type of content (Movie, Series, or Documentary), and a label describing the genre and the main themes of the content. The labels are crafted to represent a wide range of genres and themes while avoiding the overuse of the key terms related to recommendation systems.
CSV Content Preview:
RecommendationID, ContentType, ContentLabel, Genre, MainTheme
1, Movie, Space Odyssey - Classic, Sci-Fi, Space Exploration
2, Series, The Crown: A Regal Tale, Historical Drama, Royalty and Politics
3, Documentary, Into the Depths: Ocean's Wonders, Nature, Oceanography
4, Movie, Coding for Champions, Technology, Education
5, Series, The Detective's Dilemma, Crime, Mystery and Investigation
Source of the data:
The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'netflix':
- Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=netflix&dataset=NetflixRecommendation&tags=collaborative,+personalized,+implicit
- Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub