A framework for collaborative, content-based and demographic filtering

We discuss learning a profile of user interests for recommending informatio n sources such as Web pages or news articles. We describe the types of info rmation available to determine whether to recommend a particular page to a particular user. This information includes the content of the page, the rat ings of the user on other pages and the contents of these pages, the rating s given to that page by other users and the ratings of these other users on other pages and demographic information about users. We describe how each type of information may be used individually and then discuss an approach t o combining recommendations from multiple sources. We illustrate each appro ach and the combined approach in the context of recommending restaurants.