1

Insights from Machine-Learned Diet Success Prediction

To support people trying to lose weight and stay healthy, more and more fitness apps have sprung up including the ability to track both calories intake and expenditure. Users of such apps are part of a wider “quantified self“ movement and many opt-in …

On Analyzing Geotagged Tweets for Location-Based Patterns

Geotagged social media is becoming highly popular as social media access is now made very easy through a wide range of mobile apps which automatically detect and augment social media posts with geo-locations. In this paper, we analyze two kinds of …

eScience and Living Analytics

Massive amount of digital traces left behind by life in the modern world have brought about the emergence of a computational social science. This presentation introduces research at Living Analytics Research Centre (LARC) where problems in consumer …

Do you know the speaker?: an online experiment with authority messages on event websites

With the widespread adoption of the Web, many compa- nies and organizations have established websites that pro- vide information and support online transactions (e.g., buy- ing products or viewing content). Unfortunately, users have limited attention …

LASER: A Living Analytics Experimentation System for Large-Scale Online Controlled Experiments

Tracking user browsing data and measuring the effectiveness of website design and web services are important to businesses that want to attract the consumers today who spend much more time online than before. Instead of using randomized controlled …

On Finding the Point Where There Is No Return: Turning Point Mining on Game Data

Gaming expertise is usually accumulated through playing or watching many game instances, and identifying critical moments in these game instances called turning points. Turning point rules (shorten as TPRs) are game patterns that almost always lead …

Palanteer: A search engine for community generated microblogging data

Unlike standard web search, people search microblog messages to look for temporally relevant information. Due to the recency nature of microblogs and a massive amount of data generated by users of popular services such as Twitter, it is challenging …

Automatic Classification of Software Related Microblogs

Millions of people, including those in the software engineering communities have turned to microblogging services, such as Twitter, as a means to quickly disseminate information. A number of past studies by Treude et al., Storey, and Yuan et al. have …

In-game Action List Segmentation and Labeling in Real-Time Strategy Games

In-game actions of real-time strategy (RTS) games are extremely useful in determining the players' strategies, analyzing their behaviors and recommending ways to improve their play skills. Unfortunately, unstructured sequences of in-game actions are …

Observatory of Trends in Software Related Microblogs

Microblogging has recently become a popular means to disseminate information among millions of people. Interestingly, software developers also use microblog to communicate with one another. Different from traditional media, microblog users tend to …