Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Hua-Jun Zeng"'
Autor:
Hua Jun Zeng, Cheng Xu Wu
Publikováno v:
Applied Mechanics and Materials. :2760-2766
Inorganic polymers using slag as cementitious materials have the advantage of a short setting time, high early strength, but the sensitivity of the reaction rate to temperature and the likelihood to subsequently crack, which leads to reduction of str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74f35ac6d9b216c3792c52e9e11c4e74
https://doi.org/10.4028/www.scientific.net/amm.405-408.2760
https://doi.org/10.4028/www.scientific.net/amm.405-408.2760
Publikováno v:
Knowledge and Information Systems. 19:265-281
Text classification has been widely used to assist users with the discovery of useful information from the Internet. However, traditional classification methods are based on the “Bag of Words” (BOW) representation, which only accounts for term fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d093b18427d1c13503e7d82c35eea08
https://doi.org/10.1007/s10115-008-0152-4
https://doi.org/10.1007/s10115-008-0152-4
Publikováno v:
Information Sciences. 177:1349-1363
Although collaborative filtering (CF) has proved to be one of the most successful techniques in recommendation systems, it suffers from a lack of scalability as the time complexity rapidly increases when the number of the records in the user database
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5861daec7254a2e91e6c7228488da3bd
https://doi.org/10.1016/j.ins.2006.09.005
https://doi.org/10.1016/j.ins.2006.09.005
Publikováno v:
Data Mining and Knowledge Discovery. 12:229-248
Existing categorization algorithms deal with homogeneous Web objects, and consider interrelated objects as additional features when taking the interrelationships with other types of objects into account. However, focusing on any single aspect of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f58aef712c4b9a93b2675af6d50332b8
https://doi.org/10.1007/s10618-005-0015-5
https://doi.org/10.1007/s10618-005-0015-5
Publikováno v:
ACM SIGKDD Explorations Newsletter. 7:36-43
Very large-scale classification taxonomies typically have hundreds of thousands of categories, deep hierarchies, and skewed category distribution over documents. However, it is still an open question whether the state-of-the-art technologies in autom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdd0408f67fcd25ff3eac0d076465319
https://doi.org/10.1145/1089815.1089821
https://doi.org/10.1145/1089815.1089821
Publikováno v:
SIGIR
Most traditional text clustering methods are based on "bag of words" (BOW) representation based on frequency statistics in a set of documents. BOW, however, ignores the important information on the semantic relationships between key terms. To overcom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2a3b8f0dae745ae5c49868036b59252
https://doi.org/10.1145/1390334.1390367
https://doi.org/10.1145/1390334.1390367
Publikováno v:
ICDM
The exponential growth of text documents available on the Internet has created an urgent need for accurate, fast, and general purpose text classification algorithms. However, the "bag of words" representation used for these classification methods is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c290ab7a3fab977d542268a6c8f0bac2
https://doi.org/10.1109/icdm.2007.77
https://doi.org/10.1109/icdm.2007.77
Publikováno v:
Proceedings of the 1st international workshop on Data mining and audience intelligence for advertising.
Content targeted advertising has been a successful way of delivering ads, as effective technologies were developed to find keywords from the webpage a user is browsing. However, existing technologies cannot be easily applied to find keywords from onl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4d9d0658b409a5bf464f31135beff8c
https://doi.org/10.1145/1348599.1348608
https://doi.org/10.1145/1348599.1348608
Publikováno v:
WWW
The emergence of personalized homepage services, e.g. personalized Google Homepage and Microsoft Windows Live, has enabled Web users to select Web contents of interest and to aggregate them in a single Web page. The web contents are often predefined
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcae8209d64baba7a5aa7712ab1689b5
https://doi.org/10.1145/1242572.1242574
https://doi.org/10.1145/1242572.1242574
Publikováno v:
WWW
This paper is to investigate the group behavior patterns of search activities based on Web search history data, i.e., clickthrough data, to boost search performance. We propose a Collaborative Web Search (CWS) framework based on the probabilistic mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94c5a8cc6fcb116ac154852ef0ee870b
https://doi.org/10.1145/1135777.1135958
https://doi.org/10.1145/1135777.1135958