Evaluation of information retrieval systems using structural equation modeling-Reference-Cited by-同舟云学术

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Evaluation of information retrieval systems using structural equation modeling

Published:2019-02 Issue: Volume:31 Page:1-18
ISSN:1574-0137
Container-title:Computer Science Review
language:en
Short-container-title:Computer Science Review

Author:

Melucci Massimo^ORCID,Paggiaro Adriano

Funder

Marie Sklodowska-Curie grant

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference71 articles.

1. Overview of the reliable information access workshop;Harman;Inf. Retr.,2009

2. Mathematics and information retrieval;Salton;J. Doc.,1979

3. Indexing by latent semantic analysis;Deerwester;J. Am. Soc. Inf. Sci. Technol.,1990

4. Contextual Search: A Computational Framework;Melucci,2012

5. Why current IR engines fail;Buckley;Inf. Retr.,2009

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1. A Systematic Review of Fairness, Accountability, Transparency and Ethics in Information Retrieval;ACM Computing Surveys;2023-12-15

2. A Study on the Factors Influencing the Satisfaction of College Users on Logistics Services under the Structural Equation Model: Example of Jingdong Logistics in China;E3S Web of Conferences;2021

3. A Novel Information retrieval system for distributed cloud using Hybrid Deep Fuzzy Hashing Algorithm;September 2020;2020-08-28

4. Tracking Lake and Reservoir Changes in the Nenjiang Watershed, Northeast China: Patterns, Trends, and Drivers;Water;2020-04-13

5. Extracting Deep Personae Social Relations in Microblog Posts;IEEE Access;2020

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