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PENG Dun-lu, YAO Nan, XU Wen-jie. Strategy for online advertising based on fuzzily clustering Web pages[J]. Journal of East China Normal University (Natural Sciences), 2013, (3): 54-59,69.
Citation:
PENG Dun-lu, YAO Nan, XU Wen-jie. Strategy for online advertising based on fuzzily clustering Web pages[J]. Journal of East China Normal University (Natural Sciences), 2013, (3): 54-59,69.
PENG Dun-lu, YAO Nan, XU Wen-jie. Strategy for online advertising based on fuzzily clustering Web pages[J]. Journal of East China Normal University (Natural Sciences), 2013, (3): 54-59,69.
Citation:
PENG Dun-lu, YAO Nan, XU Wen-jie. Strategy for online advertising based on fuzzily clustering Web pages[J]. Journal of East China Normal University (Natural Sciences), 2013, (3): 54-59,69.
With the rapid development of online advertising, the competition in Ad marketing is becoming more and more intense. It is important to accurately target for enhancing the ROI of online advertising. This paper proposes the definitions of the eigenvector space and eigenvector model of web pages for online advertising.Based on these concepts, it presents a fuzzy vector representation and its generating method for online advertising web pages. To accurately target advertising, it exploits a fuzzy clustering approach to partition web pages. A group of experiments has been conducted to verify the advertising efficiency and effectiveness with the proposed approach.
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