SI,L.AND CALLAN, J. 2002. Using sampled data and regression to merge search engine results. In Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, New York. Home/Search Document Details and Download
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Database Selection for Longer Queries - Wu, Yu, Meng (2003) (Correct)
....effectiveness is affected not only by a database selection algorithm, a merging algorithm but also by other factors. These factors include the utilization of different similarity functions in local sites and the global site where the retrieved documents are merged. In addition, some system [16] even obtains sample documents from each database for training so that similarities from different databases can be normalized. In summary, we believe that Definition 1 permits a simple yet precise (as given in Proposition 1) characterization of optimal ranking of databases and facilitates ....
S. Luo and J. Callan. Using Sampled Data and Regression to Merge Search Engine Results. ACM SIGIR, 2002.
A Semisupervised Learning Method to Merge Search Engine Results - Si, Callan (2003) (1 citation) Self-citation (Si) (Correct)
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SI,L.AND CALLAN, J. 2002. Using sampled data and regression to merge search engine results. In Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, New York.
Distributed Information Retrieval With Skewed Database Size.. - Luo Si Jie Self-citation (Si Callan) (Correct)
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L. Si and J. Callan. "Using Sampled Data and Regression to Merge Search Engine Results." In Proc. of the 24
Relevant Document Distribution Estimation Method for Resource.. - Si, Callan (2003) (3 citations) Self-citation (Si Callan) (Correct)
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L. Si and J. Callan. (2002). Using sampled data and regression to merge search engine results. In Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.
The Effect of Database Size Distribution on Resource Selection.. - Si, Callan (2003) Self-citation (Si Callan) (Correct)
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Si, L., Callan, J.: Using sampled data and regression to merge search engine results. In Proceedings of the Twenty Fourth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (2002)
The Effect of Database Size Distribution on Resource Selection.. - Si, Callan (2003) Self-citation (Si Callan) (Correct)
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Si, L., Callan, J.: Using sampled data and regression to merge search engine results. In Proceedings of the Twenty Fourth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (2002)
A Semisupervised Learning Method to Merge Search Engine Results - Si, Callan (2003) (1 citation) Self-citation (Si) (Correct)
No context found.
SI,L.AND CALLAN, J. 2002. Using sampled data and regression to merge search engine results. In Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, New York.
Collaborative Research - Digital Government: A Language.. - Croft, Callan (2004) Self-citation (Callan) (Correct)
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Si, L., and Callan, J., "Using sampled data and regression to merge search engine results." In Proceedings of the Twenty Fifth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 19-26). Tampere, Finland: ACM. 2002.
The Effect of Database Size Distribution on Resource Selection.. - Si, Callan (2003) Self-citation (Si Callan) (Correct)
No context found.
Si, L., Callan, J.: Using sampled data and regression to merge search engine results. In Proceedings of the Twenty Fourth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (2002)
Relevant Document Distribution Estimation Method for Resource.. - Si, Callan (2003) (3 citations) Self-citation (Si Callan) (Correct)
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L. Si and J. Callan. (2002). Using sampled data and regression to merge search engine results. In Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.
Reducing Storage Costs for Federated Search of Text Databases - Jie Lu School (2003) Self-citation (Callan) (Correct)
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S. Luo and J. Callan. Using sampled data and regression to merge search engine results. In Proc. of the 25 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 2002.
Distributed Information Retrieval With Skewed Database Size.. - Si, Lu, Callan Self-citation (Si Callan) (Correct)
....wants to search the databases manually. If the person wants a federated search system to also search the selected databases and merge the document rankings that are returned from each database, a result merging component is needed. The Semi Supervised Learning (SSL) result merging algorithm [7] uses the documents acquired by query based sampling as training data to build queryspecific, database specific regression models that map document scores returned by individual databases into normalized document scores. The SSL algorithm is very accurate and can be used with both the CORI and ....
L. Si and J. Callan. "Using Sampled Data and Regression to Merge Search Engine Results." In Proc. of the 24 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002.
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S. Luo and J. Callan. Using sampled data and regression to merge search engine results. In Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 19--26, Tampere, Finland, 2002.
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