Model of Search and Analysis of Heterogeneous User Data to Improve the Web Projects Functioning

Федушко, Соломія; Mastykash, Oleg; Syerov, Yuriy; Shilinh, Anna

doi:10.1007/978-3-030-80472-5_6

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

2024

Publication Types

Select...

Article3

Book2

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 5 publications

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

The Method of Determining the Adequacy of Virtual Community’s Themes

Anna

2023

Lecture Notes on Data Engineering and Communications Technologies

View full text Add to dashboard Cite

The Method of Determining the Adequacy of Virtual Community’s Themes

Anna

2023

Lecture Notes on Data Engineering and Communications Technologies

View full text Add to dashboard Cite

Advancing Video Search Capabilities: Integrating Feedforward Neural Networks for Efficient Fragment-Based Retrieval

Melnykova,

Shakhovska,

Pobereiko

et al. 2024

Lecture Notes on Data Engineering and Communications Technologies

View full text Add to dashboard Cite

The method of trust level of publications hosted in virtual communities

Synko¹

2022

Visnyk TNTU

View full text Add to dashboard Cite

The proposed model of data collection and analysis from thematic virtual communities using known information analysis techniques: scoring and parsing. Open communities were selected for the study, namely their architecture and main components: information content (title, description, posts, topics of the event) and audience (community members). To select relevant, informative, reliable publications, the scoring method is used which reflects the level of trust of the authors of the publication in the form of weighted indicators of a set of certain characteristics. Data collection is a combined approach, as virtual communities are dynamic in the content of the data and their content depends on the actions of the participants. To parse posts from virtual communities, it was decided to use ImportXML function in Microsoft Excel, which allows you to collect data from different sources, and then sample, analyze, and select the presentation of results using other built-in tools of this program.

show abstract

Model of Search and Analysis of Heterogeneous User Data to Improve the Web Projects Functioning

Cited by 5 publications

References 14 publications

The Method of Determining the Adequacy of Virtual Community’s Themes

The Method of Determining the Adequacy of Virtual Community’s Themes

Advancing Video Search Capabilities: Integrating Feedforward Neural Networks for Efficient Fragment-Based Retrieval

The method of trust level of publications hosted in virtual communities

Contact Info

Product

Resources

About