JOURNAL ARTICLE

Personalized Query Expansion

Afsa Hameed

Year: 2023 Journal:   International Journal of Information Systems and Computer Technologies Vol: 2 (1)

Abstract

The rapid expansion of data on the web has largely increased the problems associated with efficient searching and retrieval of required data that fulfills the user’s needs. To resolve the ineffectiveness of information retrieval systems query expansion technology is employed. In this paper, the main focus is laid on the expansion of queries by using each user’s profile and search history. In this survey paper different personalized query expansion techniques are compared. This survey's main goal is to present all the ideas, technologies, and applications being employed for personalized query expansion.

Keywords:
Query expansion Computer science Web search query Information retrieval Query optimization Web query classification Query language Focus (optics) Sargable Search engine

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FWCI (Field Weighted Citation Impact)
35
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Topics

Data Stream Mining Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Machine Learning and Data Classification
Physical Sciences →  Computer Science →  Artificial Intelligence
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