Adapting voting techniques for online forum thread retrieval

Online forums or message boards are rich knowledge-based communities. In these communities, thread retrieval is an essential tool facilitating information access. However, the issue on thread search is how to combine evidences from text units(messages) to estimate thread relevance. In this paper, we...

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Main Author: Salim, Naomie
Format: Conference or Workshop Item
Published: 2012
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Online Access:http://eprints.utm.my/id/eprint/36368/
http://dx.doi.org/10.1007/978-3-642-35326-0_44
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spelling my.utm.363682017-08-27T08:51:25Z http://eprints.utm.my/id/eprint/36368/ Adapting voting techniques for online forum thread retrieval Salim, Naomie QA75 Electronic computers. Computer science Online forums or message boards are rich knowledge-based communities. In these communities, thread retrieval is an essential tool facilitating information access. However, the issue on thread search is how to combine evidences from text units(messages) to estimate thread relevance. In this paper, we first rank a list of messages, then score threads by aggregating their ranked messages’ scores. To aggregate the message scores, we adopt several voting techniques that have been applied in ranking aggregates tasks such as blog distillation and expert finding. The experimental result shows that many voting techniques should be preferred over a baseline that treats threads as a concatenation of their messages’ text. 2012 Conference or Workshop Item PeerReviewed Salim, Naomie (2012) Adapting voting techniques for online forum thread retrieval. In: The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA12), 8-10 Dec 2012, Cairo University, Cairo, Egypt. http://dx.doi.org/10.1007/978-3-642-35326-0_44
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Salim, Naomie
Adapting voting techniques for online forum thread retrieval
description Online forums or message boards are rich knowledge-based communities. In these communities, thread retrieval is an essential tool facilitating information access. However, the issue on thread search is how to combine evidences from text units(messages) to estimate thread relevance. In this paper, we first rank a list of messages, then score threads by aggregating their ranked messages’ scores. To aggregate the message scores, we adopt several voting techniques that have been applied in ranking aggregates tasks such as blog distillation and expert finding. The experimental result shows that many voting techniques should be preferred over a baseline that treats threads as a concatenation of their messages’ text.
format Conference or Workshop Item
author Salim, Naomie
author_facet Salim, Naomie
author_sort Salim, Naomie
title Adapting voting techniques for online forum thread retrieval
title_short Adapting voting techniques for online forum thread retrieval
title_full Adapting voting techniques for online forum thread retrieval
title_fullStr Adapting voting techniques for online forum thread retrieval
title_full_unstemmed Adapting voting techniques for online forum thread retrieval
title_sort adapting voting techniques for online forum thread retrieval
publishDate 2012
url http://eprints.utm.my/id/eprint/36368/
http://dx.doi.org/10.1007/978-3-642-35326-0_44
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score 13.160551