IIIT Hyderabad at Million Query Track TREC 2009
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This was our maiden attempt at Million Query track, TREC 2009. We submitted three runs for ad-hoc retrieval task in Million Query track. We explored ad-hoc retrieval of web pages using Hadoop|a distributed infrastructure. To enhance recall, we expanded the queries using WordNet and also by combining the query with all possible subsets of tokens present in the query. To prevent query drift we experimented on giving selective boosts to dierent steps of expansion including giving higher boosts to sub-queries containing named entities as opposed to those that did not. In fact, this run achieved highest precision among our other runs. Using simple statistics we identied authoritative domains such as wikipedia.org, answers.com, etc and attempted to boost hits from them, while preventing them from overly biasing the results. An attempt to query classication was also made.
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[3] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.