Results 1 to 6 of about 6 (6)
Automatic search for fragments containing biographical information in a natural language text
The search and classification of text documents are used in many practical applications. These are the key tasks of information retrieval. Methods of text searching and classifying are used in search engines, electronic libraries and catalogs, systems ...
A. V. Glazkova
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Vector search using method of clustering using ensemble of oblivious trees
Information retrieval using machine learning algorithms is based on transforming the original multimodal documents into vector representations. These vectors are then indexed, and the search is performed within this index.
N. A. Tomilov +3 more
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A method of storing vector data in compressed form using clustering
The development of the machine learning algorithms for information search in recent years made it possible to represent text and multimodal documents in the form of vectors.
N. A. Tomilov +3 more
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The modern approach to search textual and multimodal data in large collections involves the transformation of the documents into vector embeddings. To store these embeddings efficiently different approaches could be used, such as quantization, which ...
N. A. Tomilov
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K-sparse encoder for efficient information retrieval
Modern industrial search engines typically employ a two-stage pipeline: fast candidate retrieval followed by reranking. This approach inevitably leads to the loss of some relevant documents due to the simplicity of algorithms used in the first stage ...
V. Yu. Dobrynin
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Efficient sparse retrieval through embedding-based inverted index construction
Modern search engines use a two-stage architecture for efficient and high-quality search over large volumes of data. In the first stage, simple and fast algorithms like BM25 are applied, while in the second stage, more precise but resourceintensive ...
V. Yu. Dobrynin +2 more
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