RMIT University at TREC 2010: Session Track
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چکیده
The 2010 session track aimed to investigate retrieval performance over a search session, taking into account the fact that users often need to re-formulate their initial queries to find useful documents. The experiments carried out by RMIT University investigated a simple strategy of joining query terms across a session, as well as the use of Google suggested queries and whether these can improve the quality of a search result list. For our experiments, we used the Lemur toolkit (version 4.12) to index and search the ClueWeb category B dataset. Ranking was carried out using a Dirichletsmoothed language model. Query terms were stemmed using the Krovetz stemmer, and stopwords were not removed. Some queries contained punctuation (for example in URLs), and all punctuation was replaced with whitespace. (The only manual editing was that the the sequence “U.S.” was replaced with “USA”, but this could have been done automatically through the use of a simple acronym mapping table).
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تاریخ انتشار 2010