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題名:應用基於排序相關係數之特徵向量轉換於資訊檢索排序模型學習
書刊名:資訊、科技與社會學報
作者:葉鎮源林忠億鄭培成 引用關係楊維邦 引用關係
作者(外文):Yeh, Jen-yuanLin, Jung-yiCheng, Pei-chengYang, Wei-pang
出版日期:2015
卷期:15:1/2
頁次:頁1-19
主題關鍵詞:文件檢索排序模型學習特徵關聯計算特徵向量二階表徵轉換排序預測與評估Document retrievalLearning to rankFeature correlation extractionFeature-level second-order representation transformationRanking prediction and evaluation
原始連結:連回原系統網址new window
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  • 點閱點閱:21
期刊論文
1.Fan, W. G.、Fox, E. A.、Pathak, P.、Wu, H.(2004)。The effects of fitness functions on genetic programming-based ranking discovery for web search。Journal of the American Society for Information Science and Technology,55(7),628-636。  new window
2.Fan, W. G.、Gordon, M. D.、Pathak, P.(2004)。A generic ranking function discovery framework by genetic programming for information retrieval。Information Processing & Management,40(4),587-602。  new window
3.Fan, W. G.、Gordon, M. D.、Pathak, P.(2004)。Discovery of context-specific ranking functions for effective information retrieval using genetic programming。IEEE Transactions on Knowledge and Data Engineering,16(4),523-527。  new window
4.Freund, Y.、Iyer, R.、Schapire, R. E.、Singer, Y.(2004)。An efficient boosting algorithm for combining preferences。Journal of Machine Learning Research,4(6),933-969。  new window
5.Goodman, L. A.、Kruskal, W. H.(1972)。Measures of association for cross classification。Journal of the American Statistical Association,49(268),732-764。  new window
6.Kendall, M. G.(1938)。A new measure of rank correlation。Biometrika,30(1/2),81-93。  new window
7.Jarvelin, K.、Kekalainen, J.(2002)。Cumulated gain-based evaluation of IR techniques。ACM Transactions on Information Systems,20(4),422-446。  new window
8.Pan, Z. B.、You, X. G.、Chen, H.、Tao, D. C.、Pang, B. C.(2013)。Generalization performance of magnitude-preserving semi-supervised ranking with graph-based regularization。Information Sciences,221,284-296。  new window
9.Somers, R. H.(1962)。A new asymmetric measure of association for ordinal variables。American Sociological Review,27(6),799-811。  new window
10.Spearman, Charles(1904)。The proof and measurement of association between two things。The American Journal of Psychology,15(1),72-101。  new window
11.Yu, H.、Kim, J.、Kim, Y.、Hwang, S.、Lee, Y. H.(2012)。An efficient method for learning nonlinear ranking SVM functions。Information Sciences,209,37-48。  new window
12.Brin, Sergey、Page, L.(1998)。The Anatomy of a Large-scale Hypertextual Web Search Engine。Computer Networks and ISDN Systems,30(1-7),107-117。  new window
會議論文
1.Bian, J.、Liu, T.-Y.、Qin, T.、Zha, H.(2010)。Ranking with query-dependent loss for web search。The 3rd ACM International Conference on Web Search and Data Mining,141-150。  new window
2.Burges, C.、Shaked, T.、Renshaw, E.、Lazier, A.、Deeds, M.、Hamilton, N.、Hullender, G.(2005)。Learning to rank using gradient descent。The 22nd International Conference on Machine Learning。ACM。89-96。  new window
3.Cao, Z.、Qin, T.、Liu, T. Y.、Tsai, M.-F.、Li, H.(2007)。Learning to rank: from pairwise approach to listwise approach。The 24th International Conference on Machine Learning。ACM。129-136。  new window
4.Cao, Y.、Xu, J.、Liu, T. Y.、Li, H.、Huang, Y.、Hon, H.-W.(2006)。Adapting ranking SVM to document retrieval。The 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval。ACM。186-193。  new window
5.Geng, X.、Liu, T.-Y.、Qin, T.、Li, H.(2007)。Feature selection for ranking。The 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,407-414。  new window
6.Gyöngyi, Z.、Garcia-Molina, H.、Pedersen, J.(2004)。Combating web spam with TrustRank?。The 30th International Conference on Very Large Data Bases,576-587。  new window
7.Joachims, T.(2002)。Optimizing search engines using clickthrough data。The 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,(會議日期: 2002/07/23-25)。Edmonton, AB。133-142。  new window
8.Lin, J.-Y.、Yeh, J.-Y.、Liu, C.-C.(2012)。Learning to rank for information retrieval using layered multi-population genetic programming。2012 IEEE International Conference on Computational Intelligence and Cybernetics,45-49。  new window
9.Liu, Y.、Gao, B.、Liu, T.-Y.、Zhang, Y.、Ma, Z.、He, S.、Li, H.(2008)。BrowseRank: letting web users vote for page importance。The 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,451-458。  new window
10.Matveeva, I.、Burges, C.、Burkard, T.、Laucius, A.、Wong, L.(2006)。High accuracy retrieval with multiple nested ranker。The 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,437-444。  new window
11.Nallapati, R.(2004)。Discriminative models for information retrieval。The 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,64-71。  new window
12.Nie, L.、Davison, B. D.、Qi, X.(2006)。Topical link analysis for web search。The 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,91-98。  new window
13.Qin, T.、Liu, T.-Y.、Zhang, X.-D.、Chen, Z.、Ma, W.-Y.(2005)。A study of relevance propagation for web search。The 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,408-415。  new window
14.Robertson, S. E.、Walker, S.、Jones, S.、Hancock-Beaulieu, M. M.、Gatford, M.(1995)。Okapi at TREC-3。The 3rd Text Retrieval Conference,109-127。  new window
15.Scheel, C.、Neubauer, N.、Lommatzsch, A.、Obermayer, K.、Albayrak, S.(2007)。Efficient query delegation by detecting redundant retrieval strategies。SIGIR 2007 Workshop on Learning to Rank for Information Retrieval。  new window
16.Shakery, A.、Zhai, C. X.(2003)。Relevance propagation for topic distillation UIUC TREC 2003 web track experiments。The 12th Text REtrieval Conference,673-677。  new window
17.Szummer, M.、Yilmaz, E.(2011)。Semi-supervised learning to rank with preference regularization。The 20th ACM International Conference on Information and Knowledge Management,269-278。  new window
18.Tsai, M.-F.、Liu, T.-Y.、Qin, T.、Chen, H.-H.、Ma, W.-Y.(2007)。FRank: a ranking method with fidelity loss。The 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,383-390。  new window
19.Wang, L.、Lin, J.、Metzler, D.(2011)。A cascade ranking model for efficient ranked retrieval。The 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,105-114。  new window
20.Xu, J.、Cao, Y.、Li, H.、Huang, Y.(2006)。Cost-sensitive learning of SVM for ranking。The 17th European Conference on Machine Learning,833-840。  new window
21.Xu, J.、Cao, Y.、Li, H.、Zhao, M.(2005)。Ranking definitions with supervised learning methods。The 14th International Conference on World Wide Web,811-819。  new window
22.Xu, J.、Li, H.(2007)。AdaRank: a boosting algorithm for information retrieval。The 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,391-398。  new window
23.Xue, G.-R.、Yang, Q.、Zeng, H.-J.、Yu, Y.、Chen, Z.(2005)。Exploiting the hierarchical structure for link analysis。The 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,186-193。  new window
24.Yeh, J.-Y.、Lin, J.-Y.、Ke, H.-R.、Yang, W.-R.(2007)。Learning to rank for information retrieval using genetic programming。SIGIR 2007 Workshop on Learning to Rank for Information Retrieval,41-48。  new window
25.Yilmaz, E.、Aslam, J. A.、Robertson, S.(2008)。A new rank correlation coefficient for information retrieval。The 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,587-594。  new window
26.Yu, H.(2005)。SVM selective sampling for ranking with application to data retrieval。The 11th ACM SIGKDD International Conference on Knowledge Discovery in Data Mining,354-363。  new window
27.Yue, Y.、Finley, T.、Radlinski, F.、Joachims, T.(2007)。A support vector method for optimizing average precision。The 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,217-278。  new window
28.Zhai, C. X.、Lafferty, J.(2001)。A study of smoothing methods for language models applied to Ad Hoc information retrieval。The 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,334-342。  new window
29.Zhou, K.、Xue, G.-R.、Zha, H.、Yu, Y.(2008)。Learning to rank with ties。The 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,275-282。  new window
學位論文
1.游斯涵(2009)。使用機器學習方法於語音文件檢索之研究(碩士論文)。國立臺灣師範大學,臺北。  延伸查詢new window
圖書
1.Liu, T.-Y.(2011)。Learning to rank for information retrieval。Heidelberg:Springer。  new window
2.Tukey, J. W.(1977)。Exploratory data analysis。Pearson。  new window
3.Baeza-Yates, R.、Ribeiro-Neto, B.(1999)。Modern information retrieval。Addison-Wesley。  new window
4.Manning, C. D.、Schütze, H.(1999)。Foundations of Statistical Natural Language Processing。Cambridge, MA:The MIT Press。  new window
5.Manning, C. D.、Raghavan, P.、Schütze, H.(2008)。Introduction to information retrieval。New York, NY:Cambridge University Press。  new window
6.Mitchell, T. M.(1997)。Machine Learning。McGraw-Hill。  new window
7.Han, J.、Kamber, M.、Pei, J.(2011)。Data mining: concepts and techniques。Morgan Kaufmann。  new window
圖書論文
1.Burges, C. J.、Ragno, R.、Le, Q. V.(2007)。Learning to rank with nonsmooth cost functions。Advances in Neural Information Processing Systems。Cambridge, MA:The MIT Press。  new window
2.Crammer, K.、Singer, Y.(2002)。Pranking with ranking。Advances in Neural Information Processing Systems。Cambridge, MA:The MIT Press。  new window
3.Li, P.、Wu, Q.、Burges, C. J.(2008)。McRank: learning to rank using multiple classification and gradient boosting。Advances in Neural Information Processing Systems。Red Hook, NY:Curran Associates。  new window
4.Pearson, K.(1895)。Note on regression and inheritance in the case of two parents。Proceedings of the Royal Society of London。  new window
5.Xia, F.、Liu, T.-Y.、Li, H.(2009)。Statistical consistency of top-k ranking。Advances in Neural Information Processing Systems。Red Hook, NY:Curran Associates。  new window
6.Zheng, Z.、Zha, H.、Zhang, T.、Chapelle, O.、Chen, K.、Sun, G.(2007)。A general boosting method and its application to learning ranking functions for Web search。Advances in Neural Information Processing Systems。Red Hook, NY:Curran Associates。  new window
 
 
 
 
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