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probabilistic-retrieval

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subhalingamd / ir-pseudo-relevance-feedback

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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

MayankTamakuwala / Vision_Search_Engine

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Vision Search Engine is a sophisticated and versatile search engine designed to provide highly accurate and efficient search capabilities. Leveraging a suite of advanced algorithms and techniques, this project is equipped to handle a wide array of search functionalities, ensuring precise and relevant results.

tokenization normalization boolean-retrieval variable-byte-encoding api-integration k-means-clustering probabilistic-retrieval ranked-retrieval positional-indexing real-time-indexing stopword-removal on-disk-indexing stemming-and-lemmatization synonym-handling phrase-searching wildcard-queries multi-threaded-query-processing
  • Updated Jun 6, 2024
  • Python

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