A session-oriented retrieval model based on Markov random field

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 presen...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Yasi Gao, Chuang Zhang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Analytical models Helium Implicit feedback Information retrieval Joints Markov random field Markov random fields Mathematical model Search session Term dependence
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