Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

A Bipartite Graph Based Competitiveness Degrees Analysis with Query Logs on Search Engine

Authors
Dandan Qiao, Qiang Wei, Jin Zhang, Guoqing Chen
Corresponding Author
Dandan Qiao
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.91How to use a DOI?
Keywords
Competitiveness degree, query log, bipar-tite graph model.
Abstract
Competitive intelligence analysis based on user gener-ated contents (UGCs) shows advantages on possessing the benefit of the wisdom of crowds, evading cognitive biases and timely updating. This paper investigates and constructs a bipartite graph model by extracting joint co-occurrence of competitors from query logs, i.e., an important type of UGCs. The model represents the in-herent competitiveness among competitors, based on which their mutual competitiveness degrees can be measured. Moreover, the BGComp algorithm is de-signed as well. Finally, an analysis on forecasting au-tomobiles’ sales demonstrates the better forecasting power of the regression models integrating the competi-tiveness degrees than the benchmark model.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Dandan Qiao
AU  - Qiang Wei
AU  - Jin Zhang
AU  - Guoqing Chen
PY  - 2015/06
DA  - 2015/06
TI  - A Bipartite Graph Based Competitiveness Degrees Analysis with Query Logs on Search Engine
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 638
EP  - 643
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.91
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.91
ID  - Qiao2015/06
ER  -