The Media Futures Group is interested in media (text, audio, image and video) on the Web. This includes content creation, publication, distribution and consumption. Current research themes include information retrieval, digital rights management, and statistical modelling of the structural topology of information sources.
The Media Futures Group consists of three academic staff – Ingemar J. Cox, Jun Wang, and Shi Zhou – together with two postdoctoral researchers – Kimberly Moravec and Jianhan Zhu – and 11 Ph.D. students – Ahmad Izuddin Zainal Abidin, Hersh Asthana, Anil Bawa-Cavia, Michael Camilleri, Xiaoying Feng, Ruoxun Fu, Vasileios Giotsas, Jagadeesh Gorla, Mehdi Hosseini, Tamas Jambor, Lei Zheng. In addition, we have several visiting scholars.
Detailed descriptions of our research activities can be found here.
This is great news. There will be three tutorials from The Media Futures Group in WSDM 2015. They are: Dynamic Information Retrieval Modeling Grace Hui Yang and Marc Sloan Real-Time Bidding: A New Frontier of Computational Advertising Research Shuai Yuan and Jun Wang Learning about health and medicine from Internet data Elad Yom-Tov, Ingemar Cox and Vasileios Lampos
The news was posted at: http://www.bbc.co.uk/rd/blog/2014/11/evaluating-speech-music-discriminators Xia Cui details her work with Internet Research & Future Services in evaluating speech/music discriminators My name is Xia and I’m doing a masters degree in Web Science and Big Data Analytics at University College London. For the last few months I’ve been working with BBC R&D on a research project, looking at [...]
This year there are three researchers (Dr. Jun Wang, Weinan Zhang, and Shuai Yuan) from the Media Future Group who attended the SIGKDD 2014 conference, a top-tier international conference in data mining and knowledge discovery. They presented the following papers in the main conference: An Empirical Study of Reserve Price Optimisation in Real-Time Bidding, Shuai Yuan et [...]
There will be a practice SIGIR 2014 tutorial presentation in the Web Science and Big Data Analytics seminar series in Rm 505, 1 Euston Square, UCL at 14.00pm 30th Jun 2014 Please find the abstract and bio of the speaker below. Dynamic IR Modeling – SIGIR Tutorial Practice Marc Sloan UCL PhD Dynamic aspects of Information Retrieval (IR), including changes found in data, users and systems, [...]
The data set for Section A (Text Retrieval) of the Information Retrieval and Data Mining Assignment 2014 can be downloaded using the links below: Information Retrieval Assignment Dataset Part 1 (653) Information Retrieval Assignment Dataset Part 2 (617) Note: After unzipping the two files, place the fb396001, fr94 and ft folders from Part 2 inside the Documents folder of Part 1. The Panda Platform [...]
Good news from our group. Ingemar Cox and Stephen Robertson have been elected as Fellows of the ACM. For the official announcement, please refer to URL: http://www.acm.org/press-room/news-releases/2013/fellows-2013.
There will be an invited talk in the Web Science and Big Data Analytics seminar series in Rm 6.12, Malet place engineering building, UCL at 1pm 29th Nov 2013 Please find the abstract and bio of the speaker below. To be or not be engaged: What is the question (to ask)? Mounia Lalmas Yahoo Labs London http://labtomarket.wordpress.com In the online world, user engagement refers to the [...]
Online advertising is now one of the fastest advancing areas in IT industry. In display and mobile advertising, the most significant development in recent years is the growth of Real-Time Bidding (RTB), which allows selling and buying online display advertising in real-time one ad impression at a time. Since then, RTB has fundamentally changed the [...]
Early-warning sensor systems that can test and track serious infectious diseases – such as major flu epidemics, MRSA and HIV – using mobile phones and the internet are being developed by a major new Interdisciplinary Research Collaboration (IRC) led by UCL (University College London). The new £11 million IRC, funded by the Engineering and Physical Sciences [...]
We are pleased to announce that PassiveSystems has been award Knowledge Transfer Business of the Year Award. PassivSystem’s Knowledge Transfer Partnership grants include work on recommender systems supported by Jun Wang and Ingemar J. Cox.