Database Reference
In-Depth Information
Content-based filtering
Content-based methods try to use the content or attributes of an item, together with some
notion of similarity between two pieces of content, to generate items similar to a given
item. These attributes are often textual content (such as titles, names, tags, and other
metadata attached to an item), or in the case of media, they could include other features of
the item, such as attributes extracted from audio and video content.
In a similar manner, user recommendations can be generated based on attributes of users or
user profiles, which are then matched to item attributes using the same measure of similar-
ity. For example, a user can be represented by the combined attributes of the items they
have interacted with. This becomes their user profile, which is then compared to item at-
tributes to find items that match the user profile.
