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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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DOI: https://doi.org/10.1007/978-0-387-30164-8_167
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-30768-8
Online ISBN: 978-0-387-30164-8
eBook Packages: Computer ScienceReference Module Computer Science and Engineering