Open Access
Journal of Computer Science and Technology, volume 30, issue 5, pages 1054-1062
Mining Intention-Related Products on Online Q&A Community
Publication type: Journal Article
Publication date: 2015-09-13
Q3
Q4
SJR: 0.312
CiteScore: 1.3
Impact factor: 0.6
ISSN: 10009000, 18604749, 16666046, 16666038
Computer Science Applications
Hardware and Architecture
Computational Theory and Mathematics
Software
Theoretical Computer Science
Abstract
User generated content on social media has attracted much attention from service/product providers, as it contains plenty of potential commercial opportunities. However, previous work mainly focuses on user consumption intention (CI) identification, and little effort has been spent to mine intention-related products. In this paper, focusing on the Baby & Child Care domain, we propose a novel approach to mine intention-related products on online question and answer (Q&A) community. Making use of the question-answering pairs as data source, we first automatically extract candidate products based on dependency parser. And then by means of the collocation extraction model, we identify the real intention-related products from the candidate set. The experimental results on our carefully constructed evaluation dataset show that our approach achieves better performance than two natural baseline methods.
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GOST
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Duan J. W. et al. Mining Intention-Related Products on Online Q&A Community // Journal of Computer Science and Technology. 2015. Vol. 30. No. 5. pp. 1054-1062.
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Duan J. W., Chen Y., Liu T., Ding X. Mining Intention-Related Products on Online Q&A Community // Journal of Computer Science and Technology. 2015. Vol. 30. No. 5. pp. 1054-1062.
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TY - JOUR
DO - 10.1007/s11390-015-1581-7
UR - https://doi.org/10.1007/s11390-015-1581-7
TI - Mining Intention-Related Products on Online Q&A Community
T2 - Journal of Computer Science and Technology
AU - Duan, Jun Wen
AU - Chen, Yi-Heng
AU - Liu, Ting
AU - Ding, Xiao
PY - 2015
DA - 2015/09/13
PB - Springer Nature
SP - 1054-1062
IS - 5
VL - 30
SN - 1000-9000
SN - 1860-4749
SN - 1666-6046
SN - 1666-6038
ER -
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BibTex (up to 50 authors)
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@article{2015_Duan,
author = {Jun Wen Duan and Yi-Heng Chen and Ting Liu and Xiao Ding},
title = {Mining Intention-Related Products on Online Q&A Community},
journal = {Journal of Computer Science and Technology},
year = {2015},
volume = {30},
publisher = {Springer Nature},
month = {sep},
url = {https://doi.org/10.1007/s11390-015-1581-7},
number = {5},
pages = {1054--1062},
doi = {10.1007/s11390-015-1581-7}
}
Cite this
MLA
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Duan, Jun Wen, et al. “Mining Intention-Related Products on Online Q&A Community.” Journal of Computer Science and Technology, vol. 30, no. 5, Sep. 2015, pp. 1054-1062. https://doi.org/10.1007/s11390-015-1581-7.