Amir Hosein Keyhanipour
Assistant Professor, Computer Engineering Department, Faculty of Engineering, College of Farabi, University of Tehran, Iran.
[ 1 ] - 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 ...
نویسندگان همکار