Designing a Stock Recommender System Using the Collaborative Filtering Algorithm for the Tehran Stock Exchange
ObjectiveWith the increasing volume of information and the complexity of financial markets, investors are increasingly seeking innovative financial tools to make more informed decisions. These tools should help investors choose the right stocks and achieve better returns. In this regard, stock recom...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | fas |
| Published: |
University of Tehran
2024-06-01
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| Series: | تحقیقات مالی |
| Subjects: | |
| Online Access: | https://jfr.ut.ac.ir/article_98028_86a21928c03914c0924fa69c891ac615.pdf |
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