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We build an economic model to study the problem of offering a new, high-certainty channel on an existing business-to-consumer platform such as Taobao and eBay. On this new channel, the platform owner exerts effort to reduce the uncertainty of service quality. Sellers can either sell through the...
Today, smartphone-based in-app advertisement forms a substantial portion of the online advertising market. In-app publishers go through ad-space aggregators known as Supply-Side Platforms (SSPs), who, in turn, act as intermediaries for ad-agency aggregators known as demand-side platforms. The...
Behavioral Change Support Systems (BCSSs) aim to change users behavior and lifestyle. These systems have been gaining popularity with the proliferation of wearable devices and recent advances in mobile technologies. In this article, we extend the existing literature by discovering design...
This article presents a novel approach to detecting emergency events, such as power outages, that utilizes social media users as social sensors for virtual detection of such events. The proposed new method is based on the analysis of the Twitter data that leads to the detection of Twitter...
We develop a similarity measure for medical event sequences (MESs) and empirically evaluate it using U.S. Medicare claims data. Existing similarity measures do not use unique characteristics of MESs and have never been evaluated on real MESs. Our similarity measure, the Optimal Temporal Common...
Sentiment analysis has become popular in business intelligence and analytics applications due to the great need for learning insights from the vast amounts of user generated content on the Internet. One major challenge of sentiment analysis, like most text classification tasks, is finding...
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