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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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(2017). Content-Based Filtering. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_167
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DOI: https://doi.org/10.1007/978-1-4899-7687-1_167
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Publisher Name: Springer, Boston, MA
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Online ISBN: 978-1-4899-7687-1
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