|
Recommender systems, recommendation systems or recommendation engines form or work from a specific type of information filtering system technique that attempts to recommend information items (films, television, video on demand, music, books, news, images, web pages, etc) that are likely to be of interest to the user. Typically, a recommender system compares a user profile to some reference characteristics, and seeks to predict the 'rating' that a user would give to an item they had not yet considered. These characteristics may be from the information item (the content-based approach) or the user's social environment (the collaborative filtering approach).
Source: en.wikipedia.org/wiki/Recommender_system
|
