Recommender system
Topic history | v1 (current) | created by janarez
Details
Recommender system
see v1 | created by janarez | Add resource "Deep Neural Networks for YouTube Recommendations"
- Title
- Recommender system
- Description
- A recommender system, or a recommendation system (sometimes replacing 'system' with a synonym such as platform or engine), is a subclass of information filtering system that seeks to predict the "rating" or "preference" a user would give to an item. They are primarily used in commercial applications. Recommender systems are utilized in a variety of areas and are most commonly recognized as playlist generators for video and music services, product recommenders for online stores, or content recommenders for social media platforms and open web content recommenders. These systems can operate using a single input, like music, or multiple inputs within and across platforms like news, books, and search queries. There are also popular recommender systems for specific topics like restaurants and online dating. Recommender systems have also been developed to explore research articles and experts, collaborators, and financial services.
- Link
- https://en.wikipedia.org/?curid=596646
resources
treated in Recommendation Systems
cons given in Recommender systems and their ethical challenges
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