5-Gram Unified Event Model
2010 ◽
Vol 34-35
◽
pp. 1319-1322
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Keyword(s):
In this paper, a 5-gram unified event model (UEM5) is presented, which facilitates user session identification and provides better quality data for mining algorithms. Experimental results show that UEM5 is a high quality data source and has favorable online logging and offline mining performance. It can be well applied in E-commerce applications, including Web personalization, recommendation and business intelligence.
2018 ◽
Vol 7
(2)
◽
pp. 175-200
Keyword(s):
2017 ◽
Vol 47
(1)
◽
pp. 46-55
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2019 ◽
Vol 101
(4)
◽
pp. 658-666
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Keyword(s):
Keyword(s):
Keyword(s):
2020 ◽
Vol 26
(4)
◽
pp. 454-478
2000 ◽
Vol 56
(s1)
◽
pp. s104-s104