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’ 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.
Work performed when Prakhar Biyani was at Pennsylvania State University.
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Biyani, P., Bhatia, S., Caragea, C., Mitra, P. (2015). Using Subjectivity Analysis to Improve Thread Retrieval in Online Forums. In: Hanbury, A., Kazai, G., Rauber, A., Fuhr, N. (eds) Advances in Information Retrieval. ECIR 2015. Lecture Notes in Computer Science, vol 9022. Springer, Cham. https://doi.org/10.1007/978-3-319-16354-3_54
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DOI: https://doi.org/10.1007/978-3-319-16354-3_54
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