Incorporating Query Expansion and Quality Indicators in Searching Microblog Posts

We propose a retrieval model for searching microblog posts for a given topic of interest. We develop a language modeling approach tailored to microblogging characteristics, where redundancy-based IR methods cannot be used in a straightforward manner. We enhance this model with two groups of quality...

Full description

Saved in:
Bibliographic Details
Published inAdvances in Information Retrieval pp. 362 - 367
Main Authors Massoudi, Kamran, Tsagkias, Manos, de Rijke, Maarten, Weerkamp, Wouter
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Mean Average Precision
Quality Indicator
Query Expansion
Retrieval Model
Twitter Data
Online AccessGet full text

Cover

More Information
Summary:We propose a retrieval model for searching microblog posts for a given topic of interest. We develop a language modeling approach tailored to microblogging characteristics, where redundancy-based IR methods cannot be used in a straightforward manner. We enhance this model with two groups of quality indicators: textual and microblog specific. Additionally, we propose a dynamic query expansion model for microblog post retrieval. Experimental results on Twitter data reveal the usefulness of boolean search, and demonstrate the utility of quality indicators and query expansion in microblog search.
ISBN:3642201601
9783642201608
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-20161-5_36