A distributed information retrieval system with resourceselection and resultset merging capability was used to search subsets of the GOV2 document corpus for the 2008 TREC Million...
Christopher T. Fallen, Gregory B. Newby, Kylie McC...
This paper describes our participation in the TREC 2008 Blog Track. For the opinion task, we made an opinion retrieval model that consists of preprocessing, topic retrieval, opini...
Yeha Lee, Seung-Hoon Na, Jungi Kim, Sang-Hyob Nam,...
PageRank is a way to rank Web pages taking into account hyper-link structure of the Web. PageRank provides efficient and simple method to find out ranking of Web pages exploiting ...
This paper describes our opinion retrieval system for TREC 2008 blog track. We focused on five different aspects of the system. The first module is focussed on extracting the blog...
: We describe our participation in the TREC 2008 Enterprise track and detail our language modeling-based approaches. For document search, our focus was on query expansion using pro...
Relevance feedback is the retrieval task where the system is given not only an information need, but also some relevance judgement information, usually from users' feedback f...
: We describe the participation of the University of Amsterdam's ILPS group in the relevance feedback track at TREC 2008. We introduce a new model which incorporates informati...
Edgar Meij, Wouter Weerkamp, Jiyin He, Maarten de ...
TREC 2008 was the third year of the Legal Track, which focuses on evaluation of search technology for discovery of electronically stored information in litigation and regulatory s...
This paper details our experiments carried out at TREC 2008 Relevance Feedback Track. We focused on the analysis of feedback documents, both relevant and non-relevant, to explore ...
This is the third year that we (ICT-CAS team) participated in the Enterprise Track of TREC. The track of this year includes two tasks, being document search task and expert search...
Huawei Shen, Lei Wang, Wenjing Bi, Yue Liu, Xueqi ...