Online sponsored search auction matching problem with advertiser credibility

Xiaohui Li, Yang Zhou, Hongbin Dong, Jun He
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引用次数: 1

Abstract

How does a search engine company decide which advertisements to display for each query to maximize its revenue? This turns out to be a generalization of the online bipartite matching problem. In this paper, search engines decide the strategy to allocate resources with an advertiser credibility factor under budget constraints. Based on the optimal algorithm, which is the notion of a trade-off revealing LP, this paper remains the competitive ratio as 1–1/e with an advertiser credibility factor. During the ranking in the keywords auctions, CTR(Click Through Rate) and credibility factor are added to the trade-off function. In the long term, users tend to use the search engine with high credibility, which will bring greater revenues. The search engine will attract advertisers to bid on keywords and improve their credibility actively.
在线赞助搜索拍卖与广告商信誉匹配问题
搜索引擎公司如何决定为每个查询显示哪些广告以最大化其收入?这是对在线二部匹配问题的推广。在本文中,搜索引擎在预算约束下,根据广告主可信度因素来决定资源分配策略。基于最优算法,即权衡揭示LP的概念,本文将竞争比保持为1-1 /e,并考虑广告商可信度因素。在关键词竞价排名过程中,在权衡函数中加入了点击率(CTR)和可信度因子。从长期来看,用户倾向于使用可信度高的搜索引擎,这将带来更大的收入。搜索引擎会吸引广告主对关键词进行竞价,积极提高广告主的可信度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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