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#data science Open access

Doctor of Philosophy (PhD) in Historical Sciences, Department of History and Islamic Source Studies – IRCICA, International Islamic Academy of Uzbekistan

Oct 2026 · Zenodo (CERN European Organization for Nuclear Research)
Information Retrieval and Search Behavior

Abstract

This article systematizes the key technological, linguistic, and institutional barriers that reduce the completeness and accuracy of data retrieval across global computer networks. It examines the fundamental reasons for the limited search coverage of the World Wide Web, whose actual volume accessible to an individual system does not exceed 30%, and describes in detail the phenomenon of “Deep Web” resources being inaccessible to automatic indexing. The article explores the specific linguistic and communicative difficulties associated with homonymy, synonymy, and the prevalence of short, nonspecific user queries that do not employ information retrieval language operators. Institutional and algorithmic distortions in search results caused by search engine optimization techniques, commercial spam, personalization algorithms, and regulatory manipulation are analyzed. Particular attention is given to the systematic rewriting of timestamps and the removal of outdated pages during index database updates, which leads to the erasure of the historical traces of web documents.

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