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» Causal relation of queries from temporal logs
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IJBIDM
2011
127views more  IJBIDM 2011»
13 years 2 months ago
WebUser: mining unexpected web usage
: Web usage mining has been much concentrated on the discovery of relevant user behaviours from Web access record data. In this paper, we present WebUser, an approach to discover u...
Dong (Haoyuan) Li, Anne Laurent, Pascal Poncelet
CIKM
2006
Springer
13 years 11 months ago
Coupling feature selection and machine learning methods for navigational query identification
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...
Yumao Lu, Fuchun Peng, Xin Li, Nawaaz Ahmed
PVLDB
2008
167views more  PVLDB 2008»
13 years 7 months ago
Managing and querying transaction-time databases under schema evolution
The old problem of managing the history of database information is now made more urgent and complex by fast spreading web information systems, such as Wikipedia. Our PRIMA system ...
Hyun Jin Moon, Carlo Curino, Alin Deutsch, Chien-Y...
JCDL
2009
ACM
162views Education» more  JCDL 2009»
14 years 2 months ago
Supporting analysis of future-related information in news archives and the web
A lot of future-related information is available in news articles or Web pages. This information can however differ to large extent and may fluctuate over time. It is therefore di...
Adam Jatowt, Kensuke Kanazawa, Satoshi Oyama, Kats...
KDD
2009
ACM
248views Data Mining» more  KDD 2009»
14 years 5 days ago
PSkip: estimating relevance ranking quality from web search clickthrough data
1 In this article, we report our efforts in mining the information encoded as clickthrough data in the server logs to evaluate and monitor the relevance ranking quality of a commer...
Kuansan Wang, Toby Walker, Zijian Zheng