Feature Article

Third International Workshop on Gamification in Information Retrieval (GamifIR’16)

Third International Workshop on Gamification in Information Retrieval (GamifIR’16)

The 3rd Gamification in Information Retrieval (GamifIR 2016) Workshop, hosted at SIGIR 2016, started off with a highly insightful and timely keynote by Sebastian Deterding. Sebastian is a senior research fellow at the Digital Creativity Labs at the University of York, a founder and principal designer of the design agency coding conduct, a founder of […]

News Digest in Machine Learning

Machine Learning (ML) is continuing to be a hot topic in industry with Google, Microsoft and Yahoo headlining in recent news. Here is a quick digest of some of the recent exciting events in ML and a couple of pointers to potentially useful ML resources.   In A Huge Breakthrough, Google’s AI Beats A Top […]

SocialSensor: Sensing political content in social media streams

The successful use of online material in political campaigns over the past two decades has motived the inclusion of social network websites—such as Twitter—as an integral part of the political apparatus. Indeed, after the growth of candidate websites in 1996, Jesse Ventura’s e-mail campaign in 1998, the online fund-raising for John McCain’s campaign in 2000, […]

Detecting adverse-drug effects in natural language using limited training data

A large amount of information is provided in text documents but difficult to access for computer programs. In order to detect complex information it is often important to understand the relationships between words and entities in sentences. A relation can express for instance that a disease has a particular finding or a that a drug […]

Dynamic Group Formation for Search Personalisation

Dynamic Group Formation for Search Personalisation

In recent years, Search Personalisation has been attracting more and more attention in both academia and industry. Different from classical search methods in which the personalisation is not taken into account, personalised search engines utilise personal data of each user to tailor search results to the specific user, which depend not only on the input […]

Benchmarking News Recommendations: The CLEF NewsREEL Use Case

Benchmarking News Recommendations: The CLEF NewsREEL Use Case

Many online news portals display at the bottom of their articles a small widget box labelled, “You might also be interested in”, “Recommended articles”, or similarly where users can find a list of recommended news articles. An example is shown in Figure 1.