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In this paper, we describe our systems and corresponding results submitted to the Real-Time Summarization (RTS) track at the 2016 Text Retrieval Conference (TREC). The task involved identifying relevant tweets based on a user's interest profile. In Scenario A of the task, tweets relevant to an interest profile were pushed to a live user in real-time. In Scenario B, a daily digest of relevant tweets was sent to a user. We submitted three automatic runs for each scenario. Our overall method fordblp:conf/trec/LeeQDHLPF16 fatcat:rpezqftc5zd3xpuhbwtga7gmw4