The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in
response to a query. Although the most common formulation of text ranking is search …

This year represents the fourth iteration of the TREC Microblog track, which has been
running since 2011. The track continued using the “evaluation as a service” model [8, 7], in …

1 INTRODUCTION e TREC 2017 Real-Time Summarization (RTS) Track is the second
iteration of a community e ort to explore techniques, algorithms, and systems that …

The booming of social networks has given rise to a large volume of user-generated contents
(UGCs), most of which are free and publicly available. A lot of users' personal aspects can …

Push notifications from social media provide a method to keep up-to-date on topics of
personal interest. To be effective, notifications must achieve a balance between pushing too …

Most work on natural language question answering today focuses on answer selection:
given a candidate list of sentences, determine which contains the answer. Although …

The vast amount of information in social networks makes it difficult for users to find what they
want, users may get drowned in the information flood. It is a challenging problem to retrieve …

How do we evaluate systems that filter social media streams and send users updates via
push notifications on their mobile phones? Such notifications must be relevant, timely, and …

This article introduces a new language-independent approach for creating a large-scale
high-quality test collection of tweets that supports multiple information retrieval (IR) tasks …

Real-time push notification systems monitor continuous document streams such as social
media posts and alert users to relevant content directly on their mobile devices. We describe …