This paper discusses Siena's Interactive Research Assistant's (SIRA) participation in the Text Retrieval Conference (TREC) Session Track of 2014. The overall goal of this track is to improve search results during query sessions based on a user's behavior. Query sessions include many aspects of a search, including query topics, initial retrieved webpages, clicked on links, visit times, etc. SIRA has used several methods to improve search results that will be discussed in this paper. Each method

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... f query expansion utilized clicked-on and non-clicked-on links, pages with the longest visited time, and N-Percent (N%) of each page. Two of our three submissions improved over our baseline results and both of these were equal to the median submission for all participants in the track.