Mining Intention-Related Products on Online Q＆A Community

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...

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Bibliographic Details
Published in计算机科学技术学报（英文版） no. 5; pp. 1054 - 1062
Main Author 段俊文 陈毅恒 刘挺 丁效
Format Journal Article
LanguageEnglish
Published 2015
Subjects
利用问题
商业机会
在线
意向
挖掘
相关产品
社区
自动提取
Q&A community
product extraction
consumption intention
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Summary: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.
Bibliography:Jun-Wen Duan , Yi-Heng Chen,Ting Liu , and Xiao Ding （School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China）
11-2296/TP
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.
consumption intention； product extraction； Q＆A community
ISSN:1000-9000
1860-4749
DOI:10.1007/s11390-015-1581-7