%0 Conference Paper %1 citeulike:883680 %A Järvelin, Kalervo %A Kekäläinen, Jaana %B SIGIR '00: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval %C New York, NY, USA %D 2000 %I ACM Press %K evaluation, ir, ndcg, seminal %P 41--48 %R 10.1145/345508.345545 %T IR evaluation methods for retrieving highly relevant documents %U http://portal.acm.org/citation.cfm?id=345545 %@ 1581132263

@inproceedings{citeulike:883680, added-at = {2008-06-17T16:01:02.000+0200}, address = {New York, NY, USA}, author = {J\"arvelin, Kalervo and Kek\"al\"ainen, Jaana}, biburl = {https://www.bibsonomy.org/bibtex/21bd9b4e0c6879e9e35a68289bdac29af/pprett}, booktitle = {SIGIR '00: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval}, citeulike-article-id = {883680}, comment = {(private-note)The authors propose new evaluation measures, computing the cumulative gain the user obtains by examining the retrieval result up to a given ranked position. Furthermore, the authors examine the effects of using degree relevance assessments (as opposed to the binary assessments aka. bipartite ranking case). Major differences between AP and (N)DCG: * for non-dichotomical rel. assessments AP is evaluated separately at each rel. level.}, doi = {10.1145/345508.345545}, interhash = {fd2c8ad32bbd9e54034a5d9a8d7b6f5b}, intrahash = {1bd9b4e0c6879e9e35a68289bdac29af}, isbn = {1581132263}, keywords = {evaluation, ir, ndcg, seminal}, pages = {41--48}, posted-at = {2008-04-24 08:37:33}, priority = {5}, publisher = {ACM Press}, timestamp = {2008-06-17T16:01:11.000+0200}, title = {IR evaluation methods for retrieving highly relevant documents}, url = {http://portal.acm.org/citation.cfm?id=345545}, year = 2000 }