col764

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subhalingamd / ir-pseudo-relevance-feedback

Implementation of Probabilistic Retrieval Query expansion and Relevance Model based Language Modelling aimed at improving the precision of results using pseudo-relevance feedback in Information Retrieval.

information-retrieval language-model bm25 query-expansion reranking relevance-feedback probabilistic-retrieval pseudo-relevance-feedback dirichlet-smoothing robertson document-reranking lavrenko-and-croft col764

Updated Nov 17, 2020
Python

subhalingamd / ir-vsm

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Vector-Space Model (VSM) for Information Retrieval (IR) implemented for Assignment 1 in COL764 | Used d-gap encoding to store the index files efficiently (top 5% of the class)

information-retrieval indexing vector-space-model tf-idf vsm col764

Updated Oct 30, 2020
Python

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