Learning to rank with click-through features in a reinforcement learning framework
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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ورودعنوان ژورنال:
- IJWIS
دوره 12 شماره
صفحات -
تاریخ انتشار 2016