Typology of Personalization in Recommender Systems

Purpose: With the development of science and technology, large volumes of structured, semi-structured, and unstructured data are generated daily at breakneck speeds from various sources. This data generated by different users share many common patterns that can be filtered and analyzed to make recom...

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Bibliographic Details
Main Authors: Marziyeh Nourahmadi, Hojjatollah Sadeqi
Format: Article
Language:fas
Published: Ayandegan Institute of Higher Education, Tonekabon, 2022-05-01
Series:مدیریت نوآوری و راهبردهای عملیاتی
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Online Access:http://www.journal-imos.ir/article_137336_b477c29e386e9d8a9d9c70e359d1544c.pdf
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