An immune programming-based ranking function discovery approach for effective information retrieval
暂无分享,去创建一个
Shuaiqiang Wang | Jun Ma | Qiang He | Jun Ma | Shuaiqiang Wang | Qiang He
[1] Weiguo Fan,et al. A generic ranking function discovery framework by genetic programming for information retrieval , 2004, Inf. Process. Manag..
[2] Jaana Kekäläinen,et al. Cumulated gain-based evaluation of IR techniques , 2002, TOIS.
[3] Zhou Ji,et al. Artificial immune system (AIS) research in the last five years , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[4] Tie-Yan Liu,et al. Learning to Rank for Information Retrieval , 2011 .
[5] Jonathan Timmis,et al. Artificial immune systems as a novel soft computing paradigm , 2003, Soft Comput..
[6] Pável Calado,et al. A combined component approach for finding collection-adapted ranking functions based on genetic programming , 2007, SIGIR.
[7] Weiguo Fan,et al. Learning to advertise , 2006, SIGIR.
[8] John D. Lafferty,et al. A study of smoothing methods for language models applied to Ad Hoc information retrieval , 2001, SIGIR '01.
[9] Fernando José Von Zuben,et al. Learning and optimization using the clonal selection principle , 2002, IEEE Trans. Evol. Comput..
[10] Tao Qin,et al. FRank: a ranking method with fidelity loss , 2007, SIGIR.
[11] Andrew Trotman,et al. Learning to Rank , 2005, Information Retrieval.
[12] Azadeh Shakery,et al. Relevance Propagation for Topic Distillation UIUC TREC 2003 Web Track Experiments , 2003, TREC.
[13] Tao Qin,et al. A study of relevance propagation for web search , 2005, SIGIR '05.
[14] Harris Wu,et al. The effects of fitness functions on genetic programming-based ranking discovery for Web search: Research Articles , 2004 .
[15] Stephen E. Robertson,et al. Overview of the Okapi projects , 1997, J. Documentation.
[16] Weiguo Fan,et al. Discovery of context-specific ranking functions for effective information retrieval using genetic programming , 2004, IEEE Transactions on Knowledge and Data Engineering.
[17] Weiguo Fan,et al. Genetic Programming-Based Discovery of Ranking Functions for Effective Web Search , 2005, J. Manag. Inf. Syst..
[18] G. Nossal,et al. The molecular and cellular basis of affinity maturation in the antibody response , 1992, Cell.
[19] Yoram Singer,et al. An Efficient Boosting Algorithm for Combining Preferences by , 2013 .
[20] Tie-Yan Liu,et al. Learning to rank for information retrieval (LR4IR 2007) , 2007, SIGF.
[21] Thorsten Joachims,et al. Optimizing search engines using clickthrough data , 2002, KDD.
[22] Stephen E. Robertson,et al. Okapi at TREC-3 , 1994, TREC.
[23] Amit Singhal,et al. Pivoted document length normalization , 1996, SIGIR 1996.
[24] Stephen E. Robertson,et al. GatfordCentre for Interactive Systems ResearchDepartment of Information , 1996 .
[25] Gerard Salton,et al. Term-Weighting Approaches in Automatic Text Retrieval , 1988, Inf. Process. Manag..
[26] R. Collins. Studies in artificial evolution , 1992 .
[27] Weiguo Fan,et al. Personalization of search engine services for effective retrieval and knowledge management , 2000, ICIS.
[28] Tie-Yan Liu,et al. Adapting ranking SVM to document retrieval , 2006, SIGIR.
[29] Petr Musílek,et al. Immune programming , 2006, Inf. Sci..
[30] Tao Qin,et al. LETOR: Benchmark Dataset for Research on Learning to Rank for Information Retrieval , 2007 .
[31] Hang Li,et al. AdaRank: a boosting algorithm for information retrieval , 2007, SIGIR.