A framework to predict the quality of answers with non-textual features (2006)
| Venue: | In SIGIR ’06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval |
| Citations: | 24 - 1 self |
BibTeX
@INPROCEEDINGS{Jeon06aframework,
author = {Jiwoon Jeon and W. Bruce Croft and Joon Ho Lee and Soyeon Park},
title = {A framework to predict the quality of answers with non-textual features},
booktitle = {In SIGIR ’06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval},
year = {2006},
pages = {228--235},
publisher = {ACM Press}
}
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Abstract
New types of document collections are being developed by various web services. The service providers keep track of non-textual features such as click counts. In this paper, we present a framework to use non-textual features to predict the quality of documents. We also show our quality measure can be successfully incorporated into the language modeling-based retrieval model. We test our approach on a collection of question and answer pairs gathered from a community based question answering service where people ask and answer questions. Experimental results using our quality measure show a significant improvement over our baseline.
