1[1]ENGENE A,ERIC B,SUSAN D.Improving Web Ranking by Incorporating User Behavior Information[C]//Preceedings of ACM Conference on Research and Development on information Retrieval (SIGIR),2006.
2[2]AMANDA S,BERNARD J J.A Study of Web Search Trends[J/OL].Webology,2004,1(2),Article 4.[2008-06-04].http://www.weboingy.jr/2004/vln2/a4.html.
3[3]XU Jinxi,CROFT W B.Improving the effectiveness of information retrieval with local context analysis[J].ACM Transactions on Information Systems,2000,18(1).
4[4]HOACHIMS T,GRANKA L,PAN Bing.Accurately Interpreting Click through Data as Implicit Feedback[C]//Preceedings of ACM Conference on Research and Development on Information Retrieval (SIGIR),Salvador,Brazil August 15 19,2005,Salvador,Brazil.2005.
5[5]LIU Yiqun,ZHANG Min,RU Liyun,MA Shaoping.Automatic query Type Identification Based on Click Through Inforrnatinn[C]//Asia Information Retrieval Symposium,AIRS 2006:593-600.
8Jansen B J, Spink A, SareevieT. Real Life, Real Users, and Real Needs: A Study and Analysis of User Queries on the Web [J]. Information Processing and Management, 2000, 36(2) : 207 -227.
9Spink A, Jansen B J, Wolfman D, et al. 2002. From E - sex to E - commerce : Web Search Changes[J]. IEEE Computer, 35 (3) : 133 - 135.
10Jansen B J, Spink A. How are We Searching the World Wide Web? A Colllparison of Nine Search Engine Transaction Logs [ J ]. Information Processing and Management, 2006, 42(1): 248- 263.
