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Content-Based Filtering

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Content-based recommending

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Content-based filtering is prevalent in Information Retrieval, where the text and multimedia content of documents is used to select documents relevant to a user’s query. In the context this refers to content-based recommenders, that provide recommendations by comparing representations of content describing an item to representations of content that interests a user.

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© 2011 Springer Science+Business Media, LLC

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(2011). Content-Based Filtering. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_167

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