@inproceedings{770ff91b71234b36b13697e8cfc8655b,
title = "Using subjectivity analysis to improve thread retrieval in online forums",
abstract = "Finding relevant threads in online forums is challenging for internet users due to a large number of threads discussing lexically similar topics but differing in the type of information they contain (e.g., opinions, facts, emotions). Search facilities need to take into account the match between users{\textquoteright} intent and the type of information contained in threads in addition to the lexical match between user queries and threads. We use intent match by incorporating subjectivity match between user queries and threads into a state-of-the-art forum thread retrieval model. Experimental results show that subjectivity match improves retrieval performance by over 10% as measured by different metrics.",
author = "Prakhar Biyani and Sumit Bhatia and Cornelia Caragea and Prasenjit Mitra",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 37th European Conference on Information Retrieval Research, ECIR 2015 ; Conference date: 29-03-2015 Through 02-04-2015",
year = "2015",
doi = "10.1007/978-3-319-16354-3_54",
language = "English (US)",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "495--500",
editor = "Allan Hanbury and Andreas Rauber and Gabriella Kazai and Norbert Fuhr",
booktitle = "Advances in Information Retrieval - 37th European Conference on IR Research, ECIR 2015, Proceedings",
address = "Germany",
}