Overview of the TREC 2010 Relevance Feedback Track (Notebook)

Overview of the TREC 2010 Legal Track Notebook Draft 2010 . 10 . 25

The TREC 2010 Legal Track consisted of two distinct tasks: the learning task, in which participants were required to estimate the probability of relevance for each document, and the interactive task, in which participants were required to identify all relevant documents using a human-in-the-loop process. 2010 is the fth year of the legal track, the third year of the interactive task within the ...

TREC 2010 Web Track Notebook: Term Dependence, Spam Filtering and Quality Bias

Many existing retrieval approaches treat all the documents in the collection equally, and do not take into account the content quality of the retrieved documents. In our submissions for TREC 2010 Web Track, we utilize quality-biased ranking methods that are aimed to promote documents that potentially contain high-quality content, and penalize spam and low-quality documents. Our experiments with...

Relevance Feedback Track Overview : TREC 2008 Chris Buckley , Sabir Research

York University at TREC 2009: Relevance Feedback Track

We describe a series of experiments conducted in our participation in the Relevance Feedback Track. We evaluate two traditional weighting models (BM25 and DFR) for the phase 1 task, which are widely used in text retrieval domain. We also evaluate a statistics-based feedback model and our proposed feedback model for the phase 2 task. Currently, we are waiting for the overview paper to facilitate...

TREC-CHEM 2010 : Notebook report

The TREC Chemical IR Track is a domain-specific evaluation campaign working with documents containing specific lexica, including chemical formulas and specific names. The 2010 edition of the track also included supporting material in addition to text: images and structure information files. As in the previous year, we had two tasks: a patent focused prior-art (PA) task and a user-focused Techno...