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