Information retrival models using Inverted Index
-
Updated
Apr 4, 2022 - Python
Information retrival models using Inverted Index
Information Retrieval Models
Implementations of Unigram language modeling with smoothing, Document ranking using probabilistic retrieval, and Zipf’s law and cross-entropy evaluation
Using Apache Lucene to index documents in AP89 corpus, perform retrieval on TREC topics and evaluate the performance of retrieval algorithms using different evaluation metrics
Add a description, image, and links to the jelinek-mercer-smoothing topic page so that developers can more easily learn about it.
To associate your repository with the jelinek-mercer-smoothing topic, visit your repo's landing page and select "manage topics."