Extraction of Effective Textual and Semantic Features in Learning to Rank for Web Document Retrieval
Ranking algorithms, as the core of web search systems, are responsible for finding and ranking the most relevant documents to user information needs from the crawled and indexed corpus. With the ever-increasing amount of available training data, ranking technologies are moving towards using Machine...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Iranian Research Institute for Information and Technology
2021-07-01
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| Series: | Iranian Journal of Information Processing & Management |
| Subjects: | |
| Online Access: | http://jipm.irandoc.ac.ir/article-1-4361-en.html |