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20182021
most citedRelevance ranking for proximity full-text search based on additional indexes with multi-component keys

1 citations · 1 across the 6 of their papers we have counts for

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8 papers

cs.IR20211 cited

Relevance ranking for proximity full-text search based on additional indexes with multi-component keys

Alexander B. Veretennikov

The problem of proximity full-text search is considered. If a search query contains high-frequently occurring words, then multi-component key indexes deliver an improvement in the…

cs.IR2021

Selection of Optimal Parameters in the Fast K-Word Proximity Search Based on Multi-component Key Indexes

Alexander B. Veretennikov

Proximity full-text search is commonly implemented in contemporary full-text search systems. Let us assume that the search query is a list of words. It is natural to consider a doc…

cs.IR2020

Proximity full-text searches of frequently occurring words with a response time guarantee

Alexander B. Veretennikov

Full-text search engines are important tools for information retrieval. In a proximity full-text search, a document is relevant if it contains query terms near each other, especial…

cs.IR2020

An Improved Algorithm for Fast K-Word Proximity Search Based on Multi-Component Key Indexes

Alexander B. Veretennikov

A search query consists of several words. In a proximity full-text search, we want to find documents that contain these words near each other. This task requires much time when the…

cs.IR2020

About a structure of easily updatable full-text indexes

Alexander B. Veretennikov

We consider strategies to organize easily updatable associative arrays in external memory. These arrays are used for full-text search. We study indexes with different keys: single…

cs.IR2020

An efficient algorithm for three-component key index construction

Alexander B. Veretennikov

In this paper, proximity full-text searches in large text arrays are considered. A search query consists of several words. The search result is a list of documents containing these…