Learn to rank Persian web content based on multi-layered genetic programming
نویسندگان
چکیده
منابع مشابه
Effective Learning to Rank Persian Web Content
Persian language is one of the most widely used languages in the Web environment. Hence, the Persian Web includes invaluable information that is required to be retrieved effectively. Similar to other languages, ranking algorithms for the Persian Web content, deal with different challenges, such as applicability issues in real-world situations as well as the lack of user modeling. CF-Rank, as a ...
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ژورنال
عنوان ژورنال: Journal of Information and Communication Technology
سال: 2020
ISSN: 2717-0411
DOI: 10.29252/aicti.10.37.48