A probabilistic model to exploit user expectations in XML information retrieval
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- 作者：Fouad Dahak<sup>asup><sup> ; sup><sup>f_dahak@esi.dzsup> ; Mohand Boughanem<sup>bsup><sup> ; sup><sup>bougha@irit.frsup> ; Amar Balla<sup>asup><sup> ; sup><sup>a_balla@esi.dzsup>
- 关键词：Priors ; Element importance ; User browsing map ; Language model
- 刊名：Information Processing & Management
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：53
- 期：1
- 页码：87-105
- 全文大小：3598 K
- 卷排序：53
文摘
XML information retrieval models return nested elements as result to a user query. User explores only elements that he expects to be relevant. The elements structural characteristics (tag, position…) attract the user attention. Important elements must be boosted according to their structural context. Element importance as prior probability improves retrieval effectiveness.