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Author

Wu Shengli

Bio: Wu Shengli is an academic researcher. The author has contributed to research in topics: Normalization (statistics). The author has co-authored 2 publications.

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Patent
11 Mar 2015
TL;DR: In this article, a data integration method supporting the diversification of information retrieval results is proposed. The method is mainly based on a complementary weight allocation strategy covered by a sub-theme.
Abstract: The invention discloses a data integration method supporting the diversification of information retrieving results. The method is mainly based on a complementary weight allocation strategy covered by a sub-theme. The calculation of the complementary weight mainly comprises the following steps of providing t information retrieving systems, retrieving a corresponding result r1, r2,...,rt from a same database by each information retrieving system for a given inquiry q; establishing a super result r on the basis of two results ri and rj; then evaluating the ri, rj and r by utilizing a performance index to obtain performance values, respectively recording the performance values as p , p and p , calculating the complementation degree of ri corresponding to rj according to the performance value, calculating the complementary weight ci of the calculation result ri (i is more than or equal to 1 and less than or equal to t), acquiring the complementary weight, and directly utilizing the complementary weight for the linear combination or as a part of the linear combined weight. By adopting the method, the novelty can be considered on the basis of diversification, the complementation degree of a result to the integrity can be quantified, and the method can be used for integrating various types such as texts, pictures and the like.
Patent
22 Oct 2014
TL;DR: In this article, a document score normalization method for the diversity of information retrieval results is proposed, where a method based on document ranking positions is utilized for normalizing scores, and the normalization score of the document is obtained by calculating the value of 1-0.2*1n(rank+1).
Abstract: The invention discloses a document score normalization method for the diversity of information retrieval results. A method based on document ranking positions is utilized for normalizing scores. Supposing the document ranking position is rank, and the normalization score of the document is obtained by calculating the value of 1-0.2*1n(rank+1). The document score normalization method for the diversity of the information retrieval results is applicable to diversified targets of information retrieval results, enables scores of documents to be provided with better comparability and can be applied to data fusion of information retrieval results, distributed information retrieval and the like.