Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Research and Application of Artificial Intelligence Algorithm in Network Search System
2
Zitationen
1
Autoren
2021
Jahr
Abstract
This article studies the personalization mechanism in the agent-based intelligent meta-search engine, accurately understands the user’s search intent, and effectively improves the quality of information retrieval services. This article focuses on the study of the agent-based intelligent metasearch engine personalization method and related theories and techniques required for function realization are given, query sentence analysis, query interest mining and member search engine scheduling process are given. The agent-based intelligent meta-search engine personalization mechanism proposed in the article can more accurately identify complex query sentences and preprocess them, efficiently learn users’ query interests, and achieve the purpose of significantly improving the relevance of search results, and intelligently Dispatch member search engines to provide full support for improving the efficiency of user information retrieval, thereby improving the user’s retrieval experience.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.324 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.189 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.588 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.470 Zit.