A novel bipartite graph based competitiveness degree analysis from query logs
A novel bipartite graph based competitiveness degree analysis from query logs
复制标题
一种新颖的基于查询日志的竞争力度分析的二部图
DOI：
10.1145/2996196
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发表时间：
2016-12
影响因子：
3.6
通讯作者：
Guo Xunhua
中科院分区：
文献类型：
--
作者：
Wei Qiang;Qiao D;an;Zhang Jin;Chen Guoqing;Guo Xunhua
Competitiveness degree analysis is a focal point of business strategy and competitive intelligence, aimed to help managers closely monitor to what extent their rivals are competing with them. This article proposes a novel method, namely BCQ, to measure the competitiveness degree between peers from query logs as an important form of user generated contents, which reflects the “wisdom of crowds” from the search engine users’ perspective. In doing so, a bipartite graph model is developed to capture the competitive relationships through conjoint attributes hidden in query logs, where the notion of competitiveness degree for entity pairs is introduced, and then used to identify the competitive paths mapped in the bipartite graph. Subsequently, extensive experiments are conducted to demonstrate the effectiveness of BCQ to quantify the competitiveness degrees. Experimental results reveal that BCQ can well support competitors ranking, which is helpful for devising competitive strategies and pursuing market performance. In addition, efficiency experiments on synthetic data show a good scalability of BCQ on large scale of query logs.
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影响因子：
4.1
作者：
J. Bigné;N. López
通讯作者：
J. Bigné;N. López
DOI：
10.1142/s0218213008003790
发表时间：
2008-02
期刊：
Int. J. Artif. Intell. Tools
影响因子：
--
作者：
Tianming Hu;C. Tan;Yong Tang;S. Sung;Hui Xiong;Chao Qu
通讯作者：
Tianming Hu;C. Tan;Yong Tang;S. Sung;Hui Xiong;Chao Qu
DOI：
10.14778/1453856.1453868
发表时间：
2008-08
期刊：
Proc. VLDB Endow.
影响因子：
--
作者：
Ziv Bar-Yossef;M. Gurevich
通讯作者：
Ziv Bar-Yossef;M. Gurevich
影响因子：
3.6
作者：
Terry Elrod;Gary J. Russell;Allan D. Shocker;Rick L. Andrews;L. Bacon;B. Bayus;J. Carroll;Richard M. Johnson;W. Kamakura;P. Lenk;J. Mazanec;Vithala R. Rao;Venkatesh Shankar
通讯作者：
Terry Elrod;Gary J. Russell;Allan D. Shocker;Rick L. Andrews;L. Bacon;B. Bayus;J. Carroll;Richard M. Johnson;W. Kamakura;P. Lenk;J. Mazanec;Vithala R. Rao;Venkatesh Shankar
DOI：
10.1007/s11280-014-0299-8
发表时间：
2015-07
期刊：
World Wide Web
影响因子：
--
作者：
Liyang Tang;Zhiwei Ni;Hui Xiong;Hengshu Zhu
通讯作者：
Liyang Tang;Zhiwei Ni;Hui Xiong;Hengshu Zhu