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What is Probabilistic Information Retrieval Models about?

The document discusses probabilistic information retrieval models, focusing on the Query Likelihood Model and Language Modeling to estimate the relevance of documents to user queries. It highlights the importance of smoothing techniques to handle unseen terms and the role of user relevance feedback in improving query results. Additionally, it covers methods for query expansion, including local and global approaches, and the use of thesauri and query logs for enhancing search effectiveness.

Author

محمد وسيق شيراز

Language

EN