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 further analyses.
['Zheng Ye', 'Xiangji Huang', 'Ben He', 'Hongfei Lin']
York University at TREC 2009: Relevance Feedback Track