This paper is in the following e-collection/theme issue:

Quality/Credibility of eHealth Information and Trust Issues (531) eHealth Literacy / Digital Literacy (390) Information Retrieval (287) Information Quality in Digital Media (340) Information Seeking, Information Needs (465) Machine Learning (1465)

Published on in Vol 21, No 1 (2019): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10986, first published .
Consumer Health Search on the Web: Study of Web Page Understandability and Its Integration in Ranking Algorithms

Consumer Health Search on the Web: Study of Web Page Understandability and Its Integration in Ranking Algorithms

Consumer Health Search on the Web: Study of Web Page Understandability and Its Integration in Ranking Algorithms

Authors of this article:

Joao Palotti1, 2 Author Orcid Image ;   Guido Zuccon3 Author Orcid Image ;   Allan Hanbury2, 4 Author Orcid Image
Article Authors Cited by (15) Tweetations (14) Metrics

Journals

  1. Kobayashi R, Ishizaki M. Examining the Interaction Between Medical Information Seeking Online and Understanding: Exploratory Study. JMIR Cancer 2019;5(2):e13240 View
  2. Lavorgna L, Brigo F, Esposito S, Abbadessa G, Sparaco M, Lanzillo R, Moccia M, Inglese M, Bonfanti L, Trojsi F, Spina E, Russo A, De Micco P, Clerico M, Tedeschi G, Bonavita S. Public Engagement and Neurology: An Update. Brain Sciences 2021;11(4):429 View
  3. Liu Y, Ji M, Lin S, Zhao M, Lyv Z. Combining Readability Formulas and Machine Learning for Reader-oriented Evaluation of Online Health Resources. IEEE Access 2021;9:67610 View
  4. Xie W, Ji M, Liu Y, Hao T, Chow C. Predicting Writing Styles of Web-Based Materials for Children’s Health Education Using the Selection of Semantic Features: Machine Learning Approach. JMIR Medical Informatics 2021;9(7):e30115 View
  5. Chang C, Yang C. On bridging consumer health search across languages using cross-lingual word space. Electronic Commerce Research and Applications 2023;59:101254 View
  6. Peikos G, Pasi G. A systematic review of multidimensional relevance estimation in information retrieval. WIREs Data Mining and Knowledge Discovery 2024;14(5) View
  7. N. A. A, E. C. O. Health Risk Associated with Conventional Skin Lighteners and Female Civil Servants’ Comprehension of Skin Lightening Ingredient Information in Anambra State. British Journal of Mass Communication and Media Research 2024;4(1):98 View
  8. Mun I. A study of the impact of ChatGPT self-efficacy on the information seeking behaviors in ChatGPT: the mediating roles of ChatGPT characteristics and utility. Online Information Review 2024 View
  9. Zeng J, Zou X, Li S, Tang Y, Teng S, Li H, Wang C, Wu Y, Zhang L, Zhong Y, Liu J, Liu S. Assessing the Role of the Generative Pretrained Transformer (GPT) in Alzheimer’s Disease Management: Comparative Study of Neurologist- and Artificial Intelligence–Generated Responses. Journal of Medical Internet Research 2024;26:e51095 View
  10. Levy D, Jordan H, Lalor J, Smirnova J, Hu W, Liu W, Yu H. Individual Factors That Affect Laypeople's Understanding of Definitions of Medical Jargon. Health Policy and Technology 2024:100932 View

Books/Policy Documents

  1. Kelly L, Suominen H, Goeuriot L, Neves M, Kanoulas E, Li D, Azzopardi L, Spijker R, Zuccon G, Scells H, Palotti J. Experimental IR Meets Multilinguality, Multimodality, and Interaction. View
  2. Hersh W. Information Retrieval: A Biomedical and Health Perspective. View
  3. Di Nunzio G, Vezzani F. Experimental IR Meets Multilinguality, Multimodality, and Interaction. View
  4. Putri D, Viviani M, Pasi G. Experimental IR Meets Multilinguality, Multimodality, and Interaction. View