Adapting Voting Techniques for Online Forum Thread Retrieval

TL;DR

This paper explores adapting voting techniques to improve thread retrieval in online forums by aggregating message relevance scores, demonstrating that voting methods outperform baseline text concatenation approaches.

Contribution

It introduces the application of various voting techniques for thread relevance estimation, showing their effectiveness over traditional message concatenation methods.

Findings

Voting techniques outperform baseline concatenation methods.

Many voting methods are preferable for thread relevance estimation.

Experimental results validate the effectiveness of voting-based aggregation.

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 evidence from text units(messages) to estimate thread relevance. In this paper, we first rank a list of messages, then we 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 a thread as a concatenation of its message texts.