#Precision: An Exploration of the Utility of User-Generated Metadata for the Creation of Precise Microblog Query-Expansion Systems

Public Deposited
Analytics

Downloadable Content

Download PDF
Request Version for Screen Reader
Last Modified
  • February 28, 2019
Creator
  • Janes, Hunter
    • Affiliation: School of Information and Library Science
Abstract
  • Twitter research provides a unique opportunity to answer fundamental questions regarding the best methods for the large-scale retrieval of extremely sparse documents. This study examines the utility of user-generated metadata expansion candidate terms for the creation of precise microblog search engines. Several search engines were created utilizing different genres of candidate expansion terms, confidence thresholds, and document parameters to explore this issue. This study demonstrates that user-generated metadata has utility for the precise retrieval of terse queries with high levels of associated conversation, such as movie awards or current events, but performs poorly on textually rich queries with lower levels of perceived conversation.
Date of publication
Subject
DOI
Resource type
Rights statement
  • In Copyright
Advisor
  • Arguello, Jaime
Degree
  • Master of Science in Information Science
Degree granting institution
  • University of North Carolina at Chapel Hill
Extent
  • 34
Deposit record
  • efd05891-c366-4dbc-b2ce-aea75225f8fa

Relations

Parents:

This work has no parents.

Items

Thumbnail Title Date Uploaded Visibility Actions
file details #Precision: An Exploration of the Utility of User-Generated Metadata for the Creation of Precise Microblog Query-Expansion Systems 2019-05-13 Public Download