A Query Expansion Benchmark on Social Media Information Retrieval: Which Methodology Performs Best and Aligns with Semantics?

A Query Expansion Benchmark on Social Media Information Retrieval: Which Methodology Performs Best and Aligns with Semantics?

This paper presents a benchmarking survey on query expansion techniques for social media information retrieval, with a focus on comparing the performance of methods using semantic web technologies. The study evaluated query expansion techniques such as generative AI models and semantic matching algo...

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Bibliographic Details
Main Authors: Evangelos A. Stathopoulos, Anastasios I. Karageorgiadis, Alexandros Kokkalas, Sotiris Diplaris, Stefanos Vrochidis, Ioannis Kompatsiaris
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Computers
Subjects:
query expansion
social media information retrieval
generative AI models
semantic matching algorithms
semantic web
ontology
Online Access:https://www.mdpi.com/2073-431X/12/6/119

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https://www.mdpi.com/2073-431X/12/6/119

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