T Liu, C Zhang, Y Gao, W Xiao, H Huang - TREC, 2011 - trec.nist.gov
This paper is an overview of the runs carried out at TREC 2011 Session track, which proposes several approaches to improve the retrieval performance over one session …
L Leal, S Kharazmi, J Dhaliwal, M Sanderson… - … of the 20 th Text REtrieval … - Citeseer
The 2011 Session track aims to study retrieval system performance by providing different components in a search session. We report on experiments and results based on query …
Past search queries and click-through information within a search session have been heavily exploited to improve search performance. However, it remains unclear how do these …
C Li, Z Yang, D Lillis - TREC, 2016 - trec.nist.gov
In this paper we describe our efforts for the TREC OpenSearch task. Our goal for this year is to evaluate the effectiveness of:(1) a ranking method using information crawled from an …
S Zhu, Z Gao, Y Yuan, H Wang, G Chen - TREC, 2013 - trec.nist.gov
This paper described the real-time search system we built for TREC 2013 microblog track. We focused on query expansion and ranking algorithm and employed different strategies …
ABSTRACT Research in Information Retrieval has traditionally focused on serving the best results for a single query. In practice however users often enter ill-specified queries which …
W Liu, H Lin, Y Ma, T Chang - TREC, 2011 - trec.nist.gov
This paper presents the DUTIR submission to TREC 2011 Session Track, the task is to test whether systems can improve their performance for a given query by using previous queries …
B Zhou, Q Fang, R Cen, M Zhang, Y Liu, S Ma - TREC, 2008 - trec.nist.gov
Our group has participated into Relevance Feedback (RF) Track in TREC2008. In our experiments, two kinds of techniques, query expansion and search result re-ranking based …
A Bah, B Carterette - … Retrieval Technology: 10th Asia Information Retrieval …, 2014 - Springer
Traditional information retrieval systems are evaluated with the assumption that each query is independent. However, during their interactions with search engines, many users find …