There is growing interest in systems that address prospective information needs against continuous document streams, exemplified by social media services such as Twitter. Real-Time Summarization (RTS) is a track at the 2017 Text Retrieval Conference (TREC) that focuses on these types of information needs.

What problems are we trying to solve?

We consider users who have a number of “interest profiles” representing prospective information needs. The system’s task is to automatically monitor the stream of documents to keep the user up to date on topics of interest. For example, a journalist might be interested in collisions involving autonomous vehicles and wishes to receive updates whenever such an event occurs.

We can imagine two methods for disseminating updates:

Scenario A: Push notifications. As soon as the system identifies a relevant post, it is immediately sent to the user’s mobile phone via a push notification. At a high level, push notifications should be relevant (on topic), timely (provide updates as soon after the actual event occurrence as possible), and novel (users should not be pushed multiple notifications that say the same thing).

Scenario B: Email digest. Alternatively, a user might want to receive a daily email digest that summarizes “what happened” that day with respect to the interest profiles. At a high level, these results should be relevant and novel; timeliness is not particularly important, provided that the tweets were all posted on the previous day.

General Evaluation Setup

The basic setup of the evaluation is described by the following figure:

The evaluation will occur from July TBD 2017 00:00:00 UTC to July TBD, 2017 23:59:59 UTC. During this time, all participating systems will “listen” to the Twitter sample stream using the Twitter streaming API and perform the evaluation tasks in real time. Systems will be provided a list of “interest profiles” (similar to topics in ad hoc retrieval) representing users’ information needs.

For scenario A (push notifications), content that is identified as relevant by a system based on the user’s interest profile in real-time will be pushed to the TREC RTS evaluation broker (via a REST API). These notifications will be immediately delivered to the mobile phones of a group of assessors.

For scenario B (email digest), at the end of the evaluation period, participants will upload a list of tweets to NIST servers for evaluation.

History

Real-Time Summarization (RTS) began at TREC 2016 and represents a merger of the Microblog (MB) track, which ran from 2010 to 2015, and the Temporal Summarization (TS) track, which ran from 2013 to 2015. The creation of RTS is designed to leverage synergies between the two tracks in exploring prospective information needs over document streams containing novel and evolving information. The 2016 task represents an extension of the real-time filtering task in the TREC 2015 Microblog Track.

Historic links for TREC 2016: