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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

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