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» Web search browse log mining: challenges, methods, and appli...
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CORR
2010
Springer
208views Education» more  CORR 2010»
13 years 4 months ago
Discovering potential user browsing behaviors using custom-built apriori algorithm
Most of the organizations put information on the web because they want it to be seen by the world. Their goal is to have visitors come to the site, feel comfortable and stay a whi...
Sandeep Singh Rawat, Lakshmi Rajamani
DEXA
2004
Springer
140views Database» more  DEXA 2004»
13 years 9 months ago
Extracting User Behavior by Web Communities Technology on Global Web Logs
A lot of work has been done on extracting the model of web user behavior. Most of them target server-side logs that cannot track user behavior outside of the server. Recently, a no...
Shingo Otsuka, Masashi Toyoda, Jun Hirai, Masaru K...
PAKDD
2004
ACM
131views Data Mining» more  PAKDD 2004»
13 years 9 months ago
Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models
This paper presents a new prediction model for predicting when an online customer leaves a current page and which next Web page the customer will visit. The model can forecast the ...
Qiming Huang, Qiang Yang, Joshua Zhexue Huang, Mic...
COLING
2010
12 years 11 months ago
Open Entity Extraction from Web Search Query Logs
In this paper we propose a completely unsupervised method for open-domain entity extraction and clustering over query logs. The underlying hypothesis is that classes defined by mi...
Alpa Jain, Marco Pennacchiotti
PVLDB
2008
144views more  PVLDB 2008»
13 years 3 months ago
Mining search engine query logs via suggestion sampling
Many search engines and other web applications suggest auto-completions as the user types in a query. The suggestions are generated from hidden underlying databases, such as query...
Ziv Bar-Yossef, Maxim Gurevich