Abstract
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.
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Albaham, A.T., Salim, N. (2012). Adapting Voting Techniques for Online Forum Thread Retrieval. In: Hassanien, A.E., Salem, AB.M., Ramadan, R., Kim, Th. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2012. Communications in Computer and Information Science, vol 322. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35326-0_44
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DOI: https://doi.org/10.1007/978-3-642-35326-0_44
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