DocumentCode :
3757572
Title :
Classification Model for Query Logs Based on Intent Mining
Author :
Zhang Shuang;Nianbin Wang
Author_Institution :
Sch. of Comput. Sci. &
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
68
Lastpage :
71
Abstract :
As a new kind of social media, query log gains mass size of users and data. It´s easy for people to post on query log. Also, the posts spread fast and can be easily seen by many other users. For the reasons above, users post various and large number contents on query log. Among these posts, we find numerous posts that express authors purchase wish for a certain product, in other words, consumption intention. These posts with consumption intention are of great research value and commercial value.
Keywords :
"Support vector machines","Data mining","Feature extraction","Data models","Training data","Media","Kernel"
Publisher :
ieee
Conference_Titel :
Advanced Communication and Networking (ACN), 2015 Seventh International Conference on
Print_ISBN :
978-1-4673-7954-0
Type :
conf
DOI :
10.1109/ACN.2015.22
Filename :
7425549
Link To Document :
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