In a sponsored search auction the advertisement slots on a search result page are generally ordered by click-through rate. Bidders have a valuation, which is usually assumed to be linear in the click-through rate, a budget constraint, and receive at most one slot per search result page (round). We study multi-round sponsored search auctions, where the different rounds are linked through the bud...

In the increasingly important market of online search advertising, a multitude of parameters affect the performance of advertising campaigns and their ability to attract users’ attention enough to produce clicks. Thus far, the majority of the relevant literature assumed an advertisement’s probability of receiving a click to be dependent on the advertisement’s quality and its position in the spo...

Companies take their responsibilities for a sustainable planet more and more seriously. For online-retail businesses a significant share of all CO2 emissions is generated by delivering goods to their clients. Now various companies are implementing a greener logistic chain into their business processes. What is a central question for these performance driven companies in this context is whether ...

In this research, we analyze the referral queries and associated site-search queries at the session level from searchers coming from web search engines. Findings are based on a random sample of 10,000 from a total of 327,261 searching sessions of an online Spanish entertainment business collected over the course of a five month period from March 23, 2012 to August 26, 2012. We find six searchin...

In pay-per-click sponsored search auctions which are currently extensively used by search engines, the auction for a keyword involves a certain number of advertisers (say k) competing for available slots (say m) to display their advertisements (ads for short). A sponsored search auction for a keyword is typically conducted for a number of rounds (say T). There are click probabilities μij associ...

background: knowing the rate of overlapping in results obtained from information retrieval tools is important to prevent waste of time. medical and health-related information has an outstanding place among the variety of information available on the internet. hence, this research aimed to study the rate of overlap among medical search results derived from mesh (medical subject headings) in gene...

We present a deterministic exploration mechanism for sponsored search auctions, which enables the auctioneer to learn the relevance scores (Click-Through-Rates) of advertisers, and allows advertisers to estimate the true value of clicks generated at the auction site. This exploratory mechanism deviates only minimally from the mechanism being currently used by Google and Yahoo! in the sense that...

In this research, we aim to identify factors that significantly affect the clickthrough of Web searchers. Our underlying goal is determine more efficient methods to optimize the clickthrough rate. We devise a clickthrough metric for measuring customer satisfaction of search engine results using the number of links visited, number of queries a user submits, and rank of clicked links. We use a ne...

Sponsored search is a multi-billion dollar industry and makes up a major source of revenue for search engines (SE). click-through-rate (CTR) estimation plays a crucial role for ads selection, and greatly affects the SE revenue, advertiser traffic and user experience. We propose a novel architecture for solving CTR prediction problem by combining artificial neural networks (ANN) with decision tr...

Click prediction is one of the fundamental problems in sponsored search. Most of existing studies took advantage of machine learning approaches to predict ad click for each event of ad view independently. However, as observed in the real-world sponsored search system, user’s behaviors on ads yield high dependency on how the user behaved along with the past time, especially in terms of what quer...