Characterizing health-related community question answering

Authors:
Alexander Beloborodov;Artem Kuznetsov;Pavel Braslavski
Affiliations:
Institute of Mathematics and Computer Science, Ural Federal University, Russia;Institute of Mathematics and Computer Science, Ural Federal University, Russia;Institute of Mathematics and Computer Science, Ural Federal University, Russia,Kontur Labs., Yekaterinburg, Russia
Venue:
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Year:
2013

Citing 3
Cited 0

Contextualizing consumer health information searching: an analysis of questions in a social Q&A community

Proceedings of the 1st ACM International Health Informatics Symposium
Intentions and attention in exploratory health search

Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Predicting web searcher satisfaction with existing community-based answers

Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval

Quantified Score

Hi-index	0.00

Visualization

Abstract

Our ongoing project is aimed at improving information access to narrow-domain collections of questions and answers. This poster demonstrates how out-of-the-box tools and domain dictionaries can be applied to community question answering (CQA) content in health domain. This approach can be used to improve user interfaces and search over CQA data, as well as to evaluate content quality. The study is a first-time use of a sizable dataset from the Russian CQA site Otvety@Mail.Ru.