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Introduction to Recommender Systems: Non-Personalized and Content-BasedUniversity of Minnesota In modern society, the recommender systems are everywhere and...
Content-Based Recommenders
The content-based approaches to recommendation include: Pure information filtering systems build profiles of content preference Case-based reasoning systems...
Non-personalized Recommenders
Non-personalized recommenders systems are remarkably effective tools and still useful in various situations. For example: recommendation in print...
Introducing Recommender Systems
Information Retrieval and Filtering Information retrieval evolved in response to the need to be able to ask questions...