Page 109 - 《中国图书馆学报》2013年第1期
P. 109
International Conference Extended Abstracts on Human Factors in Computing Systems, 2010: 3913 -3918.
[ 11 ] Kofler C. An exploratory study on the explicitness of user mtentions in digital photo retrieval[ Cl//Proceedings of the 9th
I-KNOW and I-SEMANTICS, 2009: 208 -214.
[12] Ashkan A,Clarke C L A,Agichtein E. Classifying and characterizing query intent[ C]//Proceeclings of the 31th Annual
European Conference on Information Retrieval Research (ECIR' 09). Berlin,Heidelberg, 2009: 578 -586.
[13] Guo Q,Agichtein E. Ready to buy or just browsing? Detecting Web searcher goals from interaction data[ C]//Proceed-
ings of the 33rd International ACM SICIR Conference on Research and Development in Information Retrieval, 2010: 130
- 137.
[14] Park S. Analysis of characteristics and trends of Web queries submitted to NAVER,a major Korean search ertgine[J].
Library and Information Science Research, 2009, 31(2) : 126 -133.
[ 15 ] Segev E,Ahituv N. Popular searches in Google and Yahoo! : A "Digital Divide" in information uses?[J]. The Informa-
tion Society, 2010, 26(1) : 17 -37.
[16] Ross N C M,Wolfram D. End user searching on the Intemet: An analysis of term pair topics submitted to the excite
search engine[J ]. Journal of the Americ:an Society for Information Science, 2000, 51(10) : 949 -958.
[17] Li X,Wang Y Y,Acero A. Learning query intent from regularized click graphs[ C]// Proceedings of the 31" Annual In-
temational ACM SIGIR Conference on Research and Development in Information Retrieval, 2008: 339 -346.
[18] Nguyen V B,Kan M Y. Functional faceted Web query analysis[ C]//WWW 2OU7: Proceedings of the 16th fnternational
Conference on World Wide Web, 2007: 32 -39.
[ 19] Gonzalez C,Beaza-Yates R. A multi-faceted approach to query intent classification[ C]//Springer Berlin / HeideLberg,
2011: 368 - 379.
[20] Kanhabua N,NOrvag K. Determining time of queries for re-ranking search results[ C]//Springer Berlin / Heidelberg,
2010: 261 - 2'72.
[21 ] Jones R,Diaz F. Temporal profiles of queries[J]. ACM Transactions on Information Systems (TOIS) , 2007, 25(3) : 1
- 31.
[22] Gravano L,Hatzivassiloglou V,Lichtenstein R. Categorizing Web queries according to geographical locality[ C]// Pro-
ceedings of the 12th International Conference on Information and Knowledge Management ( CIKM) , 20(B: 325 -333.
[23 ] Ding J,Gravano L. Computing geographical scopes of Web resources[ C ]// Proceedings of the 26th International Confer-
ence on Very Large Databases ( VLDB'OO) , 2000: 326 -348.
[24] Jones C,Abdelmoty A,Fu G. Maintaining ontologies for geographical information retrieval on the Web[ C ]//Springer
Berlin / Heidelberg, 2003: 934 -951.
[25] Spink A,Wolfram D,Jansen M B J. Searching the Web: The public and their queries[J]. Journal of the American Soci-
ety for Information Science and Technology, 2001, 52(3 ) : 226 - 234.
[26] 张森,王斌.Web信息查询意图分类技术综述[J].中文信息学报,2008(2Z) :75 —82.(Zhang Sen,Wang Bin.A
survey of Web seamh query intention cl8ssi6cmion[J].Journal of Chinese Information PHoceBsinE,2008(22) :75 —82.)
[ 2'7 ] Bernard J,Jansen D,Amanda S. Determining the user intent of Web search enyjne queriea[ Cl// WWW 2007: Proceed-
ings of the 16th International Conference on World Wide Web, 2004: 1149 - 1150.
[28] Belkin N J,Kelly D,Kim G. Query length in interactive information retrieval[ C]// Proceediny4s of the 26th Annual In-
temational ACM Conference on Research and Development in Information Retrieval, 2003: 205 -212.
[29] Duan R,Wang X,Hu R. Dependency relation based detection of lexicalized user goals[J]. Ubiquitous Intelligence and
Computing Lecture Notes in Computer Science, 2010(6406) : 167 - 178.