A XML query results ranking approach based on probabilistic information retrieval model
Xiaoyan Zhang, Wei Ke, Xiangfu Meng · 2012
This paper proposes an automated ranking approach based on probabilistic information retrieval model. Firstly, based on the XML data and query history, this approach takes advantage of the probabilistic information retrieval model to capture the correlations between the unspecified and specified values of leaf nodes as well as the user preferences, and then constructs the scoring function and ranks the query results according to the ranking scores. Results of experiments demonstrate that ranking method proposed can meet the user's needs and preferences effectively.