We propose a new query expansion method in the extended Boolean model that improves precision without degrading recall. For improving precision, our method promotes the ranks of documents having more query terms since users typically prefer such documents. The proposed method consists of the following three steps: (1) expanding the query by adding new terms related to each term of the query, (2...

The pixel-to-pixel flat field changes noted by Bohlin and Mack (2005) for the WFC are further quantified. During each period between anneals, a population of pixels with lowered sensitivity develops which is largely reset by the next anneal. The sensitivity deficits are twice as large in the blue as in the red. The pixels with lowered sensitivity appear to be a unique set each anneal cycle, rat...

In our entry to the new HARD track, we have investigated two methods of interactively refining user search formulations. One method consists of asking the user to select a number of sentences that may represent relevant documents, and then using the documents, whose sentences were selected for query expansion. The second method is to show to the user a list of noun phrases, extracted from the i...

In this paper we give a brief overview of the Webis group’s participation in the TREC 2012 Session track. Our runs focus on three research questions: (1) distinguishing low risk sessions where we want to involve session knowledge from those where we don’t, (2) examining conservative query expansion (only few expansion terms based on keywords from previous queries and seen/clicked documents/titl...

It is the first time that the Chinese Information Processing group of NLPR participates in TREC. Our goal in this year is to test our IR system and get some experience about the TREC evaluation. So, we select two retrieval tasks: Novelty Track and Robust Track. We build a new IR system based on two key technologies: Window-based weighting method and Semantic Tree Model for query expansion. In t...

Michael Symonds1,3, Peter Bruza1, Guido Zuccon2, Bevan Koopman1,2, Laurianne Sitbon1, Ian Turner1 1Queensland University of Technology, Brisbane, QLD 4001 2Australian e-Health Research Centre, CSIRO, Brisbane, QLD 4001 [email protected]; [email protected]; [email protected] [email protected]; [email protected]; [email protected] 3 Corresponding author (phone: +614...

This paper briefly describes the Qatar Computing Research Institute (QCRI) participation in the TREC 2011 Microblog track. The focus of our TREC submissions was on using a generative graphic model to perform query expansion. We trained a model that attempted to predict appropriate hashtags to expand tweets as well as queries. In essence, we used hashtags to represent latent topics in tweets.

In this article we describe the Oslo University College’s participation in the INEX 2009 Book track. This year’s tasks have been featuring complex topics, containing aspects. These lend themselves to use in both the book retrieval and the focused retrieval tasks. The OUC has submitted retrieval results for both tasks, focusing on using the Wikipedia texts for query expansion, as well as utilizi...