ICTNET at Session Track TREC2014

Yuanhai Xue, Guoxin Cui, Xiaoming Yu, Yue Liu, Xueqi Cheng · 2014

In this paper, we describe our solutions of the Session Track at TREC 2014. Our main idea is to re-rank the documents the official supplies as RL1. In order to get good results of the re-ranked documents, we implement the learning to rank model which needs to extract some features. We use the relevance judgments of Session Track TREC 2013 as training set this year and also we use it as testing

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