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CSCW
2012
ACM
13 years 5 months ago
Friends, romans, countrymen: lend me your URLs. using social chatter to personalize web search
People often find useful content on the web via social media. However, it is difficult to manually aggregate the information and recommendations embedded in a torrent of social ...
Abhinay Nagpal, Sudheendra Hangal, Rifat Reza Joye...
SEDE
2007
14 years 11 months ago
Self-organizing map based web pages clustering using web logs
A Web-based business always wants to have the ability to track users’ browsing behavior history. This ability can be achieved by using Web log mining technologies. In this paper...
Dehu Qi, Chung-Chih Li
AICCSA
2001
IEEE
81views Hardware» more  AICCSA 2001»
15 years 1 months ago
Connectionist Approach for Website Visitors Behaviors Mining
In this paper, we propose a new version of the topological maps algorithm, which has been used to cluster web site visitors. These are characterized by partially redundant variabl...
Khalid Benabdeslem, Younès Bennani, Eric Ja...
WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
13 years 5 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
13 years 5 months ago
Domain bias in web search
This paper uncovers a new phenomenon in web search that we call domain bias — a user’s propensity to believe that a page is more relevant just because it comes from a particul...
Samuel Ieong, Nina Mishra, Eldar Sadikov, Li Zhang