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WSDM
2009
ACM
115views Data Mining» more  WSDM 2009»
14 years 3 months ago
Discovering and using groups to improve personalized search
Personalized Web search takes advantage of information about an individual to identify the most relevant results for that person. A challenge for personalization lies in collectin...
Jaime Teevan, Meredith Ringel Morris, Steve Bush
ADC
2005
Springer
183views Database» more  ADC 2005»
14 years 2 months ago
Discovering User Access Pattern Based on Probabilistic Latent Factor Model
There has been an increased demand for characterizing user access patterns using web mining techniques since the informative knowledge extracted from web server log files can not ...
Guandong Xu, Yanchun Zhang, Jiangang Ma, Xiaofang ...
WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
14 years 2 months ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett
COLING
2010
13 years 3 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
JCDL
2004
ACM
198views Education» more  JCDL 2004»
14 years 2 months ago
Finding authoritative people from the web
Today’s web is so huge and diverse that it arguably reflects the real world. For this reason, searching the web is a promising approach to find things in the real world. This ...
Masanori Harada, Shin-ya Sato, Kazuhiro Kazama