Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Fritz Behr"'
Publikováno v:
CIKM
CIKM’12: the proceedings of the 21st ACM International Conference on Information and Knowledge Management : October 29–November 2, 2012 Maui, Hawaii, USA, 115-124
STARTPAGE=115;ENDPAGE=124;TITLE=CIKM’12
CIKM’12: the proceedings of the 21st ACM International Conference on Information and Knowledge Management : October 29–November 2, 2012 Maui, Hawaii, USA, 115-124
STARTPAGE=115;ENDPAGE=124;TITLE=CIKM’12
Information retrieval evaluation most often involves manually assessing the relevance of particular query-document pairs. In cases where this is difficult (such as personalized search), interleaved comparison methods are becoming increasingly common.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::292cb3b8afc01b16e99debcd886203ce
https://doi.org/10.1145/2396761.2396780
https://doi.org/10.1145/2396761.2396780
Publikováno v:
WWW
It has been widely observed that search queries are composed in a very different style from that of the body or the title of a document. Many techniques explicitly accounting for this language style discrepancy have shown promising results for inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eaa542b2cad4a6f221e7c14e5974b360
https://doi.org/10.1145/1772690.1772737
https://doi.org/10.1145/1772690.1772737
Publikováno v:
WWW
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by the challenge that the enormous amount of search data pose to traditio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c87b45024be310f2654aa98095fed46f
https://doi.org/10.1145/1772690.1772742
https://doi.org/10.1145/1772690.1772742