HLJIT at TREC 2017 Real-Time Summarization

Zhongyuan Han, Song Li, Leilei Kong, Liuyang Tian, Haoliang Qi
2017 Text Retrieval Conference  
This paper describes the approaches used at the TREC 2017 Real-Time Summarization. This task contains two scenarios: push notifications and email digest. For the scenario of push notifications, three filtering models, which are based on the hyperlink-extended retrieval model, the Learning to Rank and the hybrid filtering model, are proposed to filter the relevant tweets for a given topic. A novelty verification method is given for further filter the tweets for push notification. For the
more » ... of email digest, three ranking models, the hyperlink-extended retrieval model, the retrieval model based on learning to rank, and the personal retrieval model, are presented to rank the relevant tweets. Similarly, a novelty verification is proposed for filtering the redundant tweets. The evaluation results of TREC 2017 Real-Time Summarization show that the performance of our models is competitive.
dblp:conf/trec/HanLKTQ17 fatcat:ny4enaaxp5embnqc7npjm24ojq