What is a recommendation system?
A system that selects for each user a relatively small set of desirable items from a large corpus.
recommendation system explained in plain English
A system that selects for each user a relatively small set of desirable items from a large corpus. For example, a video recommendation system might recommend two videos from a corpus of 100,000 videos, selecting Casablanca and The Philadelphia Story for one user, and Wonder Woman and Black Panther for another. A video recommendation system might base its recommendations on factors such as: - Movies that similar users have rated or watched. - Genre, directors, actors, target demographic... See the Recommendation Systems course for more information.
Example
Practitioners refer to recommendation system when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
People also read
- automatic evaluation
Using software to judge the quality of a model's output.
- bag of words
A representation of the words in a phrase or passage, irrespective of order.
- BERT
A model architecture for text representation.
- bigram
An N-gram in which N=2.
- BLEU
A metric between 0.
- BLEURT
A metric for evaluating machine translations from one language to another, particularly to and from English.
- Character N-gram F-score
A metric to evaluate machine translation models.
- constituency parsing
Dividing a sentence into smaller grammatical structures ("constituents").
- crash blossom
A sentence or phrase with an ambiguous meaning.
- decoder
In general, any ML system that converts from a processed, dense, or internal representation to a more raw, sparse, or external representation.