Up or Down? Click-Through Rate Prediction from Social Intention for Search Advertising
Authors: 
Yi-Ting Chen, Hung-Yu KaoAuthors Info & Claims
Yi-Ting Chen, Hung-Yu KaoAuthors Info & ClaimsPages 102 - 106
Abstract
In search advertising, advertisers should carefully compose keywords in order to enhance the opportunity for ads to be clicked. Thus, timely presenting proper advertisements to users will encourage them to click on search ads. Until now, how to efficiently improve the ad performance to earn more clicks remains a main task. In this paper, we focus on the scope of smart phone and produce a social intentional model with advertising based features to forecast future trend on ads' click-through rate (CTR). In terms of social intentional model, we analyze Chinese text content of technology forum to derive social intentional factors which are Hotness, Sentiment, Promotion, and Event. Our results indicate that with knowing public opinions or occurring events beforehand can efficiently enhance click prediction. This will be very helpful for advertisers on adjusting bidding keywords to improve ad performance via social intention.
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- Up or Down? Click-Through Rate Prediction from Social Intention for Search Advertising
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Published In
December 2013
753 pages
ISBN:9781450321136
DOI:10.1145/2539150
- Conference Chairs:
- Edger Weippl,
- Maria Indrawan-Santiago,
- Matthias Steinbauer,
- Gabriele Kotsis,
- Ismail Khalil
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Published: 02 December 2013
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IIWAS '13
IIWAS '13: The 15th International Conference on Information Integration and Web-based Applications & Services
December 2 - 4, 2013
Vienna, Austria
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