
Задача оптимального представления текстовых документов на заключительном этапе функционирования информационно-поисковой системы представлена как целочисленная, комбинаторная задача о назначениях отранжированному месту в итоговом списке каждого из найденных документов. Решать задачу предлагается с использованием алгоритма Куна в составе автоматических поисковых серверов
The task of optimal representation of text documents at the final stage of operation of an information retrieval system represented as the integer, combinatory task about assigning to the ranked place in the total list each of the retrieved documents. To solve the task it is offered with usage of algorithm Kuhn in structure of automatic search servers
ИНФОРМАЦИОННО-ПОИСКОВАЯ СИСТЕМА, НЕЙРОННАЯ СЕТЬ ХОПФИЛДА, РАНЖИРОВАНИЕ, ОПТИМИЗАЦИЯ
ИНФОРМАЦИОННО-ПОИСКОВАЯ СИСТЕМА, НЕЙРОННАЯ СЕТЬ ХОПФИЛДА, РАНЖИРОВАНИЕ, ОПТИМИЗАЦИЯ
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
