Result merging method based on combined kernels for distributed information retrieval
To enhance the performance of result merging for distributed information retrieval（DIR）,a novel merging method was put forward,which was based on relevance between retrieved results and query.Improved latent semantic kernel（LSK） was combined with analysis of variance（ANOVA） kernel to calculate the r...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2011-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74418569/ |
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| _version_ | 1841537110665854976 |
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| author | WANG Xiu-hong1 JU Shi-guang3 |
| author_facet | WANG Xiu-hong1 JU Shi-guang3 |
| author_sort | WANG Xiu-hong1 |
| collection | DOAJ |
| description | To enhance the performance of result merging for distributed information retrieval（DIR）,a novel merging method was put forward,which was based on relevance between retrieved results and query.Improved latent semantic kernel（LSK） was combined with analysis of variance（ANOVA） kernel to calculate the relevance.Experimental results showed that the result merging precision of the combination of LSK and ANOVA kernel（CLA） is 16.79%,30.73%,20.37%,24.17%,14.25%,13.50% and 7.53% higher than that of Round-robin,ComMNZ,Bayesian,Borda,SDM,MEM and regression SVM respectively.CLA kernel method has better performance for result merging and is a practical method for result merging in DIR. |
| format | Article |
| id | doaj-art-08b80b29a7084d98a4a02489f4700fe9 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2011-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-08b80b29a7084d98a4a02489f4700fe92025-01-14T08:45:37ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-013211211874418569Result merging method based on combined kernels for distributed information retrievalWANG Xiu-hong1JU Shi-guang3To enhance the performance of result merging for distributed information retrieval（DIR）,a novel merging method was put forward,which was based on relevance between retrieved results and query.Improved latent semantic kernel（LSK） was combined with analysis of variance（ANOVA） kernel to calculate the relevance.Experimental results showed that the result merging precision of the combination of LSK and ANOVA kernel（CLA） is 16.79%,30.73%,20.37%,24.17%,14.25%,13.50% and 7.53% higher than that of Round-robin,ComMNZ,Bayesian,Borda,SDM,MEM and regression SVM respectively.CLA kernel method has better performance for result merging and is a practical method for result merging in DIR.http://www.joconline.com.cn/zh/article/74418569/distributed information retrievalresult merginglatent semantic kernelANOVA kernelcombined kernel |
| spellingShingle | WANG Xiu-hong1 JU Shi-guang3 Result merging method based on combined kernels for distributed information retrieval Tongxin xuebao distributed information retrieval result merging latent semantic kernel ANOVA kernel combined kernel |
| title | Result merging method based on combined kernels for distributed information retrieval |
| title_full | Result merging method based on combined kernels for distributed information retrieval |
| title_fullStr | Result merging method based on combined kernels for distributed information retrieval |
| title_full_unstemmed | Result merging method based on combined kernels for distributed information retrieval |
| title_short | Result merging method based on combined kernels for distributed information retrieval |
| title_sort | result merging method based on combined kernels for distributed information retrieval |
| topic | distributed information retrieval result merging latent semantic kernel ANOVA kernel combined kernel |
| url | http://www.joconline.com.cn/zh/article/74418569/ |
| work_keys_str_mv | AT wangxiuhong1 resultmergingmethodbasedoncombinedkernelsfordistributedinformationretrieval AT jushiguang3 resultmergingmethodbasedoncombinedkernelsfordistributedinformationretrieval |