Classification Model for Query Logs Based on Intent Mining

被引：1

作者：

Shuang, Zhang ^{[1
]}

Wang, Nianbin ^{[1
]}

机构：

[1] Harbin Engn Univ, Sch Comp Sci & Technol, Harbin 150001, Peoples R China

来源：

2015 SEVENTH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION AND NETWORKING (ACN) | 2015年

关键词：

Intent Mining; Query logs; Query Categorizations;

D O I：

10.1109/ACN.2015.22

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：68 / 71

页数：4

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