Several attempts have been made to analyze information diffusion on online knowledge sharing sites. In this poster, we report a preliminary study analyzing @cosme, a viral marketing site, which is among the largest community sites in Japan. The notable characteristics of @cosme are that users can bookmark their favorite reviewers; moreover, they can post their own reviews of products. In other ...

We introduce the type-based homeomorphic embedding relation as an extension of the standard, untyped homeomorphic embedding which allows us to obtain more precise results in the presence of infinite signatures (e.g., the integers). In particular, we show how our type-based relation can be used to improve the accuracy of online partial evaluation. For this purpose, we outline an approach to cons...

In this paper, we propose to track multiple previously unseen objects in unconstrained scenes. Instead of considering objects individually, we model objects in mutual context with each other to benefit robust and accurate tracking. We introduce a unified framework to combine both Individual Object Models (IOMs) and Mutual Relation Models (MRMs). The MRMs consist of three components, the relatio...

Background: Online judgment is an economical and faster way than the judicial one. With the ‎development of technology in recent decades, it has also been possible to make judgments ‎online. Although few countries have incorporated this approach into their laws, online ‎judgments are being developed and implemented in various areas such as international trade or ‎intellectual property. The pres...

With the growing use of the Social Web, an increasing number of applications for exchanging opinions with other people are becoming available online. These applications are widely adopted with the consequence that the number of opinions about the debated issues increases. In order to cut in on a debate, the participants need first to evaluate the opinions of the other users to detect whether th...