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What is TREC?<br />
TREC is a reputable international evaluation conference in the field of Information<br />
Retrieval (the field behind the search engines, e.g., Google) that aims at providing a<br />
platform for evaluating retrieval systems over hot research problems in the field. The<br />
conference is organized yearly by an American institute called NIST, and typically offers<br />
eight to ten research tracks in which international research teams can participate. Each<br />
track in the conference defines one or more research problems (called tasks) that are<br />
related. This year, our team participated in two tasks in the “Real-time Summarization”<br />
track. The goal of the track is to build a system that runs in real-time and monitors the live<br />
stream of tweets. The user of the system describes a topic of interest (such as “Qatar<br />
national day”) and the system notifies the user whenever a tweet that is relevant to the<br />
given topic and contains relatively-new information about it is posted. The system pushes<br />
those tweets to the mobile of the user whenever possible (push notification task) or sends<br />
an email of all interesting tweets to the user at the end of the day (email digest task).<br />
It ran continuously for 10 days given more than 50 test topics of interest. The system<br />
output was eventually judged accurately by NIST and all participating systems were<br />
scored. The scores were communicated earlier to the individual teams, but the rankings<br />
were only announced at the conference, which was held from Nov 15 to Nov 18 at<br />
Maryland, USA. Our team adopted a simple yet scalable and effective approach to solve<br />
the problem and got the best results among the results of all automatic systems that<br />
participated in the first task. Our system was very conservative in pushing interesting<br />
tweets, which we believe was a major factor in improving the performance.<br />
QU Team<br />
Over the four years, our<br />
research group participated in<br />
two different tracks and five<br />
different tasks. The teams<br />
included 5 MSc students<br />
(Latifa Al-Marri, Maram<br />
Hasanain, Reem Suwaileh,<br />
Rahma Ali, and Abdelrahman<br />
Shouman), 2 PhD students<br />
(Maram Hasanain and Rana<br />
Malhas), and a PostDoc (Dr.<br />
Marwan Torki). All students<br />
are CSE students. This year,<br />
our team who was ranked<br />
first consisted of two CSE<br />
graduate students: Maram<br />
Hasanain and Reem Suwaileh.<br />
Maram Hasanain is a secondyear<br />
Computer Science PhD<br />
student. She got her BSc<br />
degree in Computer<br />
Engineering in 2012 with the<br />
first rank in the department,<br />
and got her MSc in<br />
Computing degree in 2014<br />
with Distinction (as the first<br />
student in the history of the<br />
College of Engineering to get<br />
her thesis accepted without<br />
modifications). She has been<br />
selected among only 80 firstyear<br />
PhD students<br />
worldwide to attend the<br />
Microsoft Research summer<br />
school at Cambridge, UK in<br />
2015. She also got the best<br />
paper award in AIRS 2015<br />
conference and was a<br />
Dr. Tamer El-Sayed<br />
Eng. Maram Hasanain