Abstract:
In this paper, we study how to use the search session information to improve the retrieval accuracy. We propose a session-oriented retrieval model based on Markov random ...Show MoreMetadata
Abstract:
In this paper, we study how to use the search session information to improve the retrieval accuracy. We propose a session-oriented retrieval model based on Markov random field. This model introduces the correlations between query terms as a retrieval factor into the retrieval process. It also presents a dynamic update algorithm based on the analysis of users' search behavior. Our model implements a complete session-oriented information retrieval framework finally. We use ClueWeb09 category B dataset and TREC 2010 (2011) Session dataset to quantitatively evaluate the model. Experimental results show that our model can improve retrieval performance substantially using the search session information.
Date of Conference: 21-23 September 2012
Date Added to IEEE Xplore: 24 January 2013
ISBN Information:
Print ISSN: 2374-0272