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mirkomantovani / web-search-engine-UIC

Star 16

CS 582 Information Retrieval at University of Illinois at Chicago. Multithreaded crawling of UIC domain, inverted index, page rank, SEO with Context Pseudo-Relevance Feedback

python search-engine data-science information-retrieval research seo crawling pagerank inverted-index tf-idf cosine-similarity web-crawling query-expansion retrieve-documents search-engine-optimization pseudo-relevance-feedback page-rank
  • Updated Dec 15, 2018
  • Python

jarvis0 / image-search

Star 8

🌄 Search images through text by writing a caption or a description. You will be intelligently assisted while typing.

text-mining text-similarity autocomplete-search text-prediction semantic-search query-expansion string-similarity similarity-search text-embedding text-retrieval typing-assistant text-correction text-ranking semantic-embedding text-recommendation-engine search-autocomplete text-completion
  • Updated Feb 28, 2022
  • Jupyter Notebook

syenirasheila / Sentiment-Analysis-IKN-Using-SVM-QE

Star 6

This project aims to analyze the sentiment about IKN (Ibu Kota Negara), the New National Capital in Indonesia. Data is obtained through crawling Twitter data related to IKN discussion topics. Furthermore, the data is analyzed using the SVM classification method by combining it with the Query Expansion technique to produce better model performance.

python tweets sentiment-analysis svm sentiment indonesia support-vector-machines query-expansion ikn
  • Updated Nov 14, 2023
  • Jupyter Notebook

subhalingamd / ir-pseudo-relevance-feedback

Star 4

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

gabrielcc2 / AStudyOnCrossLanguageInformationRetrievalSupportForAResearchPaperRecommender

Star 1

In this repository are some files from a study on how to support cross-language recommendations for an existing research paper recommender system. We focused on German, English and Spanish. Latent semantic indexing and a framework for automatic translation (enriched with query reformulation and semantic query expansion) were studied. This was a …

query-expansion cross-language-recommendations
  • Updated Feb 27, 2015
  • HTML

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