In this thesis, we present the results of a user study that compares three different selection methods for moving targets in 1D and 2D space. The standard Chaseand-Click method involves pursuing an onscreen target with the mouse pointer and clicking on it once directly over it. The novel Click-to-Pause method involves first depressing the mouse button to pause all onscreen action, moving the cu...

Triple arrays are considered in which 10 symbols each appear 3 times in a 5 × 6 arrangement of symbols. These triple arrays fall into seven isomorphism classes. The orders of the automorphism groups of the arrays in these classes are 60, 12, 12, 6, 4, 3 and 3, respectively. © 2005 Elsevier B.V. All rights reserved.

This research paper describes key information technology (IT) project management activities in terms of project scope, time, and cost management, namely the triple constraint. The authors contend that the ability to properly manage and execute these activities are the quintessential components that oftentimes drives whether projects succeed or fail. The literature shows that IT projects have a ...

One of the important Internet challenges in coming years will be the introduction of intelligent services and the creation of a more personalized environment for users. A key prerequisite for such services is the modeling of user behavior and a natural starting place for this are Web logs. In this paper we propose a model for predicting sequences of user accesses which is distinguished by two e...

We examine the utility of relational probabilistic methods for modeling user behavior at web sites. Web logs (aka "click streams"), taken as datasets for traditional machine learning algorithms, violate the iid assumption of most algorithms. Requests ("clicks") are not independent within a session, sessions for a visitor are not independent of one another, and page types, in their interaction w...

Computational advertising has received a tremendous amount of attention from the business and academic community recently. Great advances have been made in modeling click-through rates in well studied settings, such as, sponsored search and context match. However, local search has received relatively little attention. Geographic nature of local search and associated local browsing leads to inte...

In paid search advertising on Internet, advertisers bid for specific keywords. Consumer involvement affects a consumer’s purchase intention. However, there has been no research on selecting keywords in paid search advertising depending on consumer involvement from the advertisers’ perspective. Our paper investigates the effects of several factors including impressions, click-through rate, conve...

We review a method for click-through rate prediction based on the work of Menon et al. [11], which combines collaborative filtering and matrix factorization with a side-information model and fuses the outputs to proper probabilities in [0, 1]. In addition we provide details, both for the modeling as well as the experimental part, that are not found elsewhere. We rigorously test the performance ...

There has been intense interest in the development of selective bioorthogonal reactions or "click" chemistry that can proceed in live animals. Until now however, most reactions still require vast surpluses of reactants because of steep temporal and spatial concentration gradients. Using computational modeling and design of pharmacokinetically optimized reactants, we have developed a predictable...

Online marketplace, taken the form of ‘‘open market’’ where a very large number of buyers and sellers participate, has occupied a rapid increasing position in e-commerce, which resulting in sellers’ increasing investment on online advertising. Hence, there is a growing need to identify the effectiveness of online advertising in the online marketplaces such as eBay.com. However, it is problemati...