Eurasian Journal of Academic Research 4-jild 7-son (2024) · 1114–1116-betlar

DEVELOPMENT OF INFORMATION MODELS FOR MAXIMUM VALUE CALCULATION PROCESSES IN SEARCH ENGINES

Saidova, Fazilat

DOI: 10.5281/zenodo.13365715 · Manbada o'qish →

Annotatsiya

The rapid growth of online information and the increasing reliance on search engines have highlighted the need for effective methods to measure and maximize the value of search engine processes. This research focuses on the development of information models that facilitate the calculation of maximum value in search engine algorithms. The study begins by examining the current landscape of search engines and the challenges associated with maximizing value. It identifies key factors such as user satisfaction, information accessibility, trust, business success, user engagement, and innovation as crucial elements in defining value within search engine processes.To address these challenges, the research proposes the development of comprehensive information models that integrate various metrics and parameters to assess the value of search engine algorithms.

Search engines, relevance metric, session analysis,maximum value calculation.

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex to'liq matnni saqlamaydi, manbaga havola beradi.